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environmental factors. To address these challenges, we have developed a preclinical rat model to monitor structural and functional connectivity as well as neuroinflammation non-invasively over several weeks using
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Saelens team. Research Project In this research project you will develop probabilistic deep-learning models that automatically extract biological and statistical knowledge from in vivo perturbational omics
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care and treatment. Therefore, this project will be carried out partly at Maastricht University and partly at Epilepsy Center Kempenhaeghe in Heeze. You will be working closely with Prof. Dr. Teresa
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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effort between School of Engineering and School of Chemical Engineering at Aalto University supported by our industrial partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid
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for a: PhD Candidate in Emotionally and Socially Aware Natural Language Processing (1.0fte) Project description Current Natural Language Processing (NLP) systems, and especially large language models
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit
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partners. The PhD student to be jointly supervised by two supervisors; Prof. Hamid Reza Godini and Prof. Riikka Puurunen , will contribute to a high-impact collaborative research environment. This position
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For more information about the position, please contact Prof. dr Liesje Mommer, via +31 6 20921336 or email: Liesje.Mommer@wur.nl . Questions about the procedure? Get in touch with Jessa Rozema
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environment effects on senescence, using an epigenetic clock”, with the Seychelles warbler (Acrocephalus sechellensis) as a model system. The project is supervised by Prof. Hannah Dugdale (University