855 search results for “optimal onderwijs” in the Public website
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Optimally weighted ensembles of surrogate models for sequential parameter optimization
It is a common technique in global optimization with expensive black-box functions to learn a surrogate-model of the response function from past evaluations and use it to decide on the location of future evaluations.
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Education
Onderwijs omvat wiskunde, informatica en data science, astrofysica, natuurkunde, chemie tot bio-farmaceutische wetenschappen, biologie en milieukunde.
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Educatieve Master Primair Onderwijs
Leer meer over de Educatieve Master Primair Onderwijs tijdens de Online Master's Open Dag van de Universiteit Leiden.
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Optimal Teaching
The better teaching is for pupils and students, the more solid the basis will be that we give them for their future careers. This type of teaching requires strong instructors and insight into the best ways in which pupils can be supported, and research at Leiden University is making a contribution in…
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Optimality
Optimality in plant properties and processing.
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Onderwijs en Opvoeding in een Digitale Wereld
Digital media are everywhere and are therefore a major part of our lives and the lives of our children. The new specialisation in Digital Media in Human Development focuses on the opportunities and challenges of digital media in child rearing and education.
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Self-Adjusting Surrogate-Assisted Optimization Techniques for Expensive Constrained Black Box ProblemsBagheri, S.
Optimization tasks in practice have multifaceted challenges as they are often black box, subject to multiple equality and inequality constraints and expensive to evaluate.
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Optimizing Solvers for Real-World Expensive Black-Box Optimization with Applications in Vehicle Design
Optimally solving real-world expensive Black-Box Optimization (BBO) problems w.r.t. real-world constraints, such as wall-clock time and computational costs, is extremely difficult and tedious.
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Educatieve Master Primair Onderwijs (EMPO) (MSc) (120 EC)
Heb jij een universitaire bachelor en wil je een carrière in het primair onderwijs? Kies dan de EMPO!
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Many objective optimization and complex network analysis
This thesis seeks to combine two different research topics; Multi-Objective Optimization and Complex Network Analysis.
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Optimization of quantum algorithms for near-term quantum computers
This thesis covers several aspects of quantum algorithms for near-term quantum computers and its applications to quantum chemistry and material science.
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A versatile tuple-based optimization framework
Promotor: Prof.dr. H.A.G. Wijshoff
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Contact | Onderwijs voor professionals
Do you have a question about a programme? Please contact us and we will be happy to assist you.
- Kinderen met leer- en gedragsproblemen in het onderwijs (MSc)
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Natural Computing and Optimization
Research in the Natural Computing and Optimization cluster covers theoretical foundations, the development of new algorithms, and interdisciplinary applications of natural computing methods.
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Data Driven Modeling & Optimization of Industrial Processes
Industrial manufacturing processes, such as the production of steel or the stamping of car body parts, are complex semi-batch processes with many process steps, machine parameters and quality indicators.
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On the optimization of imaging pipelines
In this thesis, topics relating to the optimization of high-throughput pipelines used for imaging are discussed. In particular, different levels of implementation, i.e., conceptual, software, and hardware, are discussed and the thesis outlines how advances on each level need to be made to make gains…
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Benchmarking Discrete Optimization Heuristics
This thesis involves three topics: benchmarking discrete optimization algorithms, empirical analyses of evolutionary computation, and automatic algorithm configuration.
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Hit and Lead Optimization
The goal of hit and lead optimization is to optimize suitable chemical starting points that can modulate a drug target. The methods and technologies used are similar to those in Hit Discovery, but once the compound has shown activity in an animal model, it moves from 'hit' to 'lead.'
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Stochastic and Deterministic Algorithms for Continuous Black-Box Optimization
Continuous optimization is never easy: the exact solution is always a luxury demand and the theory of it is not always analytical and elegant.
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Multicriteria Optimization and Decision Analysis
The focus of the Multicriteria Optimization and Decision Analysis (MODA) group is to develop foundations of methods in multi-objective optimization.
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Multi-Objective Bayesian Global Optimization for Continuous Problems and Applications
A common method to solve expensive function evaluation problem is using Bayesian Global Optimization, instead of Evolutionary Algorithms.
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Parameter optimization toward optimal microneedle-based dermal vaccination
Microneedle-based vaccination has several advantages over vaccination by using conventional hypodermic needles.
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Efficient constraint multi-objective optimization with applications in ship design
Constraint multi-objective optimization with a limited budget for function evaluations is challenging. This thesis tackles this problem by proposing new optimization algorithms. These algorithms are applied on holistic ship design problems. This helps naval architects balance objectives like cost, efficiency,…
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Human skin equivalent barrier optimization
The currently available in vitro generated human skin equivalents resemble the human skin in many aspects. However, some essential barrier characteristics do not fully mimic the native barrier. Consequently, the human skin equivalents cannot be used for screening of drugs for skin penetration.
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Tekstbegrip in het onderwijs klassieke talen
In this study an attempt has been made to describe the degree in which the new objectives of the school subjects Greek and Latin, as formulated at the theoretical level by institutes as curriculum planning committees, are are incorporated by the teachers in their actual teaching practice.
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Incompany en maatwerk | onderwijs voor professionals
In addition to the open courses, Leiden University also offers tailored courses for organisations. With customisation, the content of the programme is entirely adapted to the needs of your organisation.
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Dynamic real-time substrate feed optimization of anaerobic co-digestion plants
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M. Bongards (Cologne University)
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Model-assisted robust optimization for continuous black-box problems
Uncertainty and noise are frequently-encountered obstacles in real-world applications of numerical optimization. The practice of optimization that deals with uncertainties and noise is commonly referred to as robust optimization.
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From Benchmarking Optimization Heuristics to Dynamic Algorithm Configuration
For optimization problems, it is often unclear how to choose the most appropriate optimization algorithm. As such, rigorous benchmarking practices are critical to ensure we can gain as much insight into the strengths and weaknesses of these types of algorithms.
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Advances in Survival Analysis and Optimal Scaling Methods
This thesis is based on five papers on several topics.
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Designing Ships using Constrained Multi-Objective Efficient Global Optimization
A modern ship design process is subject to a wide variety of constraints such as safety constraints, regulations, and physical constraints.
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Multi-objective Evolutionary Algorithms for Optimal Scheduling
Multi-objective optimization is an effective technique for finding optimal solutions that balance several conflicting objectives. It has been applied in many fields of our world, because practical problems usually have more than one desired goal. For example, developing a new vehicle component might…
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Quantitative pharmacological modelling for optimizing treatment of sepsis
Sepsis is a life-threatening condition caused by a dysregulated host response to infection, it is associated with significant morbidity, mortality, and with a high financial burden on global healthcare systems. Bacterial infections are the primary cause of sepsis, but the growing prevalence of antimicrobial…
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Quality-driven multi-objective optimization of software architecture design: method, tool, and application
Promotores: Prof.dr. T.H.W. Bäck, Prof.dr. M.R.V. Chaudron, Co-Promotor: M.T.M. Emmerich
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The optimization and scale-up of the electrochemical reduction of CO₂ to formate
Carbon dioxide capture and utilization technologies are necessary to create a truly circular economy. The electrochemical reduction of carbon dioxide to formate is an appealing carbon utilization method as it can be performed at room temperature and pressure, it only requires two electrons, and it has…
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Beyond random and forbidden interactions : how optimizing energy gain results in morphological matching among subalpine Asteraceae and their
Plants and their pollinators form complex interaction networks. Within these networks, species differ widely in the number of species they interact with.
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Optimizing antifungal treatment through pharmacometrics: dosing considerations to enhance outcome
Fungal infections pose a significant threat to individuals with compromised immune systems and despite advancements in diagnosis and treatment, they continue to jeopardize patient’s health.
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Systems pharmacology-based optimization of postoperative morphine treatment
Previous research has found important inter-individual differences in the pharmacokinetics (PK) of morphine in special populations such as children, the morbidly obese or the critically ill.
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Algorithm design for mixed-integer black-box optimization problems with uncertainty
The increasing competition in the automotive industry requires the tailored, swift development of technologically sophisticated vehicles. Therefore, the computationally expensive state-of-the-art simulation technologies are combined with optimization algorithms. An example of a real-world optimization…
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Representations of High-dimensional CAE Models for Automotive Design Optimization
In design optimization problems, engineers typically handcraft design representations based on personal expertise, which leaves a fingerprint of the user experience in the optimization data. Thus, learning this notion of experience as transferrable design features has potential to improve the performance…
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Optimization of Patient Flow through EMT Facilities Applying Dynamic Behavioral Simulation Models
This study aims to explore the use of a behavioral-design-based approach in simulating patient flow through EMTs. It provides a dynamic behavioral simulation model to assess the interactions between patients, staff members, and the related dynamic movements/interactions with the health care facility,…
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Generalized Strictly Periodic Scheduling Analysis, Resource Optimization, and Implementation of Adaptive Streaming Applications
This thesis focuses on addressing four research problems in designing embedded streaming systems.
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Applications of quantum annealing in combinatorial optimization
Quantum annealing belongs to a family of quantum optimization algorithms designed to solve combinatorial optimization problems using programmable quantum hardware. In this thesis, various methods are developed and tested to understand how to formulate combinatorial optimization problems for quantum…
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DSE 2.0: Towards Optimal Design of Complex, Distributed Cyber Physical Systems
DSE 2.0 concerns research on DSE techniques for complex dCPS
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ZonMw – Optimizing the responsible researcher: towards fair and constructive academic advancement
Researchers are pulled in various, sometimes contradictory directions by the multiplication of performance metrics and new incentives to align with societal needs. Management structures, funding systems, and publication practices are increasingly influenced by pressures to promote only the highest quality…
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Distance-based analysis of dynamical systems and time series by optimal transport
Promotor: S.M. Verduyn Lunel
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Zhuang KangFaculty of Science
z.kang@liacs.leidenuniv.nl | 06 45942337
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Clavis Aurea? Structure-enabled approaches of identifying and optimizing GPCR ligands
Promotores: A.P. IJzerman, H.W.T. van Vlijmen
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OPENup: Optimizing exposure therapy for Posttraumatic Stress disorder
Although exposure therapy is the gold-standard treatment of posttraumatic stress-disorder (PTSD), only half of the patients adequately benefit from it. Based on recent insights into the mechanisms of extinction, this project examines strategies and techniques to improve exposure treatment outcome in…