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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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‘RobotLab’, large numbers of experiments can be carried out, yielding large datasets on properties of molecular systems. With this data, ML models are trained to predict the properties of molecular systems
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embryonic stem cell models of cell differentiation. Design and screen therapeutics for the modulation of RNA structural ensembles. Where Founded in 1614, the University of Groningen enjoys an international
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bulk and clonal protein expression data from large melanoma cohorts, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML
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are looking for motivated candidates who can bridge system modelling, control and optimization with psychological theories and are confident with calculus, probability, statistics, control, and optimization. In
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, integrate molecular, histological, and clinical data through machine learning (ML)/AI-assisted methodologies. Your expertise in ML (Random Forest, SVM, Fully Connected Neural Networks) will be essential
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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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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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software: Gromacs for molecular dynamics (KTH Stockholm) and HADDOCK, our integrative modelling software developed in Utrecht. In this international collaborative project, you will contribute to the further
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researchers and their postdocs and PhD-students. Naturalis has a completely new lab building, including state-of-the-art molecular facilities, microCT scanners and electron microscopy (SEM and TEM). Naturalis