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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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, 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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modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine
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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
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He