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, mathematics or a related domain. You have a solid academic track record, at least at the cum laude level. You are interested in both Machine Learning and Symbolic/Logic-based AI methods. You strive
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-type specific samples, state-of-the-art molecular biology techniques, multimodal data generation and integration, gene regulatory network reconstruction and wide range of machine learning approaches
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knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Swarm intelligence Algorithmics Parallel/Distributed computing Space systems engineering
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discipline The ideal candidate should have some knowledge and/or experience in several of the following topics: Optimisation algorithms Machine learning algorithms Algorithmics Smart buildings Internet
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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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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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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