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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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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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have some knowledge and/or experience in several of the following topics (ordered by importance): Wireless Communication Technologies Distributed and Embedded Systems Machine Learning Data Analytics and
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of the professors of the Machine Learning group mentioned above, that is, Prof. Jesse Davis, Prof. Luc De Raedt, Prof. Tias Guns, Prof. Giuseppe Marra or Prof. Hendrik Blockeel. You will be part of a dynamic team
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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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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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themselves. 2 - Position description The Faculty of Engineering, Department Water and Climate, Research Group Water & Climate is looking for a PhD-student with a doctoral grant. More concretely your work
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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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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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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