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from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast, fly, mouse, and pluripotent human cell
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, you will leverage the power of graph neural networks – a novel ML architecture, capable of learning fundamental physical behaviour by modeling systems as graphs and encoding nonlinearities in these. As
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technologies such as Agentic AI, Wireless Physical Layer Foundation Model, etc.. The candidate will be validating and evaluating the developed mechanisms utilizing simulation tools and in-house cutting-edge
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methods for these diseases. Approaches range from human genetics, genomics, protein biochemistry and neuronal and glial cell biology to integrative systems and computational biology. Models include yeast
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group we are looking for a m/f/x Doctoral fellow YOUR JOB The Ghent University Business Informatics (UGent Business Informatics) research group and the Cost and Value Analytics, Modelling and Optimisation
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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of collected datasets. Methodologically, this objective combines field measurements and signal analysis with forward modelling of sensor measurements to assess the impact of field conditions and different sensor