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(DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global
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, chemistry, and structural biology at the forefront of international research. With interdisciplinary teams from Universität Hamburg, Max Planck Institute for the Structure and Dynamics of Matter (MPSD
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implementation is advantageous (especially if in the context of protein structure) Experience with structural biology and/or molecular dynamics is advantageous Publicly available code is advantageous Experience
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: Structure – Function – Dynamics Cardiovascular Science Cellular and Molecular Physiology of the Brain Genes in Development, Disease and Evolution Microbiology and Biochemistry Molecular Biology of Cells
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, computational modelling, bioinformatic analysis, and experimental vascular biology. Based in a dynamic translational research environment of data-driven life science, computational imaging, and vascular surgery
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) program. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular
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Apply now Are you a highly motivated and ambitious researcher? Join us as a PhD candidate. We have three positions available in the fields of structural biology (NMR) and antibiotics (Gram-negatives and
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for the microbial community interactions that drive CH4 cycling but are poorly understood. In the PhD project we will investigate terrestrial vegetation dynamics and lake properties including the aeolian deposits in
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activities at MCML , the collaborations at MCML and our partners . Our centre is a dynamic and exciting place to work, study, and pursue research in the field of ML and AI. Whether you are looking for a job
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expected to know theoretical methods of ab initio electronic structure calculations and/or nuclear dynamics for small molecules and/or related topics in ultracold quantum many-body physics. We also expect