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Field
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: To obtain an understanding of heterogeneous catalysis at the atomic and molecular level To work with home-built, advanced equipment and measurement techniques To work in a team, both within the group and
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Your Job: Establishing a proper model membrane system to analyze membrane fusion events Investigating the molecular interaction of the aromatic compound with other lipid compounds of the delivery
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. Familiarity in bio/nanomaterial synthesis, bioimaging, drug delivery, radiochemistry, and/or molecular biology techniques is preferred. Experience working with radioisotopes and small animal models is desirable
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on applying and interpreting genetic interaction models in relation to human biology, molecular function, and clinical phenotypes. As a PhD student in AI:GENOMIX, your research will revolve around understanding
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Council (ERC) Starting Grant project SustainCARE, with a focus on spatiotemporal degradation modelling of documentary heritage. The position is based at the Institute of Conservation and is to be filled by
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post-mortem human brain tissue and map these states in relation to disease pathology in AD tissue. In parallel, immune responses will be modeled in human stem cell–derived systems to identify regulatory
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simulation techniques, including density functional theory (DFT), molecular dynamics, Monte Carlo methods, and free‑energy perturbation calculations. Develop and implement novel computational methodologies and
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, and computational modelling. Depending on the interests of the successful candidate, different research directions, from quantitative genetics to molecular biology and computational modelling
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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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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