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Field
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technologies Develop and apply new tools to study mtDNA mutations, copy number, and dynamics Characterize the cellular and mitochondrial consequences of mtDNA mutations using molecular, imaging, and functional
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and single-molecule localization microscopy, with the aim of enabling dynamic observation of living biological systems and nanostructures. This research lies at the interface of physics, physical
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on endocrine and neuroendocrine tumours, integrating preclinical models, molecular profiling and translational approaches to identify novel therapeutic vulnerabilities and biomarkers associated with treatment
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structural data. Develop workflows for time-resolved crystallography data processing. Integrate molecular dynamics with AI/ML methods. Benchmark protein foundation model performance and integrate them with
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at the Department of Molecular Biology and Genetics (MBG), Aarhus University. Our research aims to understand how dynamic post-translational modification networks regulate protein function and cellular behaviour. By
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, biophysics, spectroscopy or microscopy, systems biology, theoretical and evolutionary biology, community ecology, ecological modeling, molecular biology, biochemistry, dynamical systems, and sports medicine
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The AICell Lab (https://aicell.io ) in the department of Applied Physics
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, and Massachusetts Institute of Technology (MIT). The candidate must have a PhD in Biomedical Sciences, Biological/Biomedical Engineering, Molecular/Cell Biology, Synthetic Biology, or a related
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Lab focuses on cancer genomics for cancer prevention. The incumbent will perform cellular and molecular lab work for projects investigating genomic and epigenomic alterations linked to cancer mechanisms
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5