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. This project involves close collaboration with two key academic partners: the synthetic biology research group led by Prof Tom Ellis in Imperial College London, and the engineered biotechnology group led by Prof
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Job Purpose The candidate will contribute to the work of the consortium *Policy Modelling for Health (HealthMod”, 2024-2028) and associated projects, *working with Dr. Andreas Hoehn, Prof. Petra
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in the team “Processus dynamiques et multi-échelles de l'organisation spontanée dans la morphogenèse tissulaire” led by Dr. Wenjin Xiao and Prof. Mathieu Hautefeuille, at Laboratory Dev2A (UMR 8263
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by the Open Universiteit, which is formally based in Heerlen. The project is supervised by a research team with strong expertise in the application of artificial intelligence for cybersecurity (prof
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University. The project will be supervised by Dr. Koen Haak and involve collaborating closely with a postdoctoral researcher, the group of Prof. Frans Cornelissen at UMCG, as well as with the multidisciplinary
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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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University of Quebec at Rimouski (Canada), the Chrono-Environnement Laboratory (France) and GEODE (France). Within ISEM, He will be under the supervision of Prof. Adam A. Ali and collaborate closely with
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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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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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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