69 molecular-modeling-or-molecular-dynamic-simulation Postdoctoral positions in Netherlands
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Applications are invited for a 2-years position as postdoctoral researcher within the research project “Graphs and Ontologies for Literary Evolution Models” (GOLEM), financed by an ERC Starting
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. The DELPHI project, a collaboration between UMCG, UG, Health-Ecore and Protyton, aims to advance lung cancer treatment using molecular modeling and computational analysis for personalised care. DELPHI seeks
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position involves developing and combining innovative tools that effectively simulate language evolution de novo and in silico in order to shed light on the pressures that drive and shape language evolution
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2022 external link & Cell 2023 external link ; Derks et al. Nature Microbiology 2024 external link ; Lewis et al. Nature 2024 external link ). In these Postdoc projects, we aim to unravel the molecular
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large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems such as solubility, phase separation, critical micelle concentration
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Sciences and Biotechnology Institute (GBB) of the University of Groningen (The Netherlands), to investigate RNA structural ensemble dynamics in living cells. What The successful applicant will work on a
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to provide better quality estimates compared to variables obtained from traditional data sources? RQ2: how can we combine the two different data sources in area-level models to measure attitudes towards LGBTQ
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management and meteorology; develop data driven models of regional greenhouse gas balances for the fen meadow areas of the Netherlands under (emission reduction) management; use the model to simulate
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, medical imaging, pathology, molecular biology, and biostatistics. The resulting international biobank of precisely characterised tumour samples provides the basis for countless research projects and opens
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, kidney, heart, lung and brain. We apply high throughput transcriptomics analysis in combination with innovative gene co-expression network models thus contributing to a system toxicology approach in