114 molecular-modeling-or-molecular-dynamic-simulation-"Prof" PhD positions in Belgium
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groups in Aarhus, Munich, and Brussels to unravel the molecular mechanisms of phytohormone transport and their impact on plant growth and environmental adaptation. This project will focus on the dynamics
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applications for a PhD position in robotics, with a focus on state estimation, localization and mapping (SLAM) in dynamic and uncertain environments. The research will center on the integration of commercially
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include 1) a murine (diet-induced obesity) model, 2) acute and chronic exercise paradigms, 3) treatment with peripherally restricted enzyme-based eCB modulators, 4) multi-tissue molecular analyses and 5
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looking for a dynamic and highly motivated PhD student. Research topic Whereas mutations are the driving force for adaptive evolution, many genetic alterations exert negative fitness effects. The effect
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validate the identified key (epi)genetic molecular and explore their therapeutic potential in vitro and in vivo disease models. Profile The candidate should: have an MSc in Systems Biology, Molecular Biology
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Department: Center for Molecular Neurology Regime Full-time Let's shape the future - University of Antwerp The Gut-Immune-Brain Axis Lab (Prof. Seppe De Schepper, VIB-UAntwerp) and the Brain and
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-causing mutations. Finally, we will validate the identified key (epi)genetic molecular and eplore their therapeutic potential in in vitro and in vivo disease models. Profile The candidate should: have an
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researcher in the field of molecular quenching strategies for photoelectrochemical biosensing. This PhD project aims to fundamentally explore the quenching dynamics of photosensitizers by various compounds and
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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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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