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, or any related engineering discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: (Quantum) Optimisation algorithms (Quantum) Machine learning
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diverse applications in decision making, criterion handling and machine learning. Topic The main research objective is to contribute to the development of responsible AI, with a strong focus on trust and
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such as Snakemake or Nextflow A willingness to learn and apply machine learning approaches We offer A doctoral scholarship for a period of one year, with the possibility of renewal for a further three
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building understanding using lithography simulation engines Reporting and presenting the key findings to our different partners and colleagues You will start with a few months of training to learn running
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covariate adjustment of multivariate outcomes in clinical trials, causal machine learning, exponential random graph models for modeling mpox, demography and infectious disease epidemiology. You will
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; knowledge of Dutch is a plus but not mandatory. FELASA certification (B or C) is a plus, but can be obtained during the project. Having knowledge of or a strong interest in Machine Learning (ML) is a plus
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, statistics, applied math, computer science, or in a related field You have a strong interest in weather and climate research You have excellent knowledge in computer programming (e.g. Python) and data analysis
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analysis, such as genomics or transcriptomics data Experience with a workflow management system such as Snakemake or Nextflow A willingness to learn and apply machine learning approaches What we offer As
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imaging (MRI) and light-sheet microscopy), biological and medical sciences (tissue microstructure, immunostaining, and neuroscience), and computer science (data analysis, image processing, machine learning
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are subtopics in the research domain of machine learning). Current research within the WAVES group is focused around the recent trends emerging in the current online and offline world where users have to cope