119 computing-"https:"-"https:"-"https:"-"UNIVERSITY-OF-LUXEMBOURG" Postdoctoral positions at Nature Careers
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, catalysis and/or surface science. For Topic 4, candidates must have documented skills within computational modelling of atomistic processes. Experience in scientific programming, e.g. using Python, is
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advanced programming skills in a high-level computer language (Python or related) hands-on experience with instrumentation development excellent oral and written English skills collaborative mindset Skills
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friendly atmosphere of large and interacting communities for e.g. structural biology, molecular cell biology, computational biology, neurobiology, and molecular medicine that encourages lively, open, and
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computational scientists. The position offers a unique opportunity to work at the interface of landscape ecology, biodiversity science, climate mitigation, and sustainable agriculture, contributing directly to
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processing equipment Modern methods in molecular biology for the engineering of proteins and microorganisms Skilled in computational methods for the prediction, characterization or modelling of biomolecules
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, proteins and DNA origami constructs, and computational procedures for data analysis. The project is a collaboration between the single molecule biophysics and chemistry group at iNANO/Department
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Doctoral and Postdoctoral Researcher Positions in the Cluster of Excellence “Balance of the Microver
according to German TV-L E13 for 3.5 years) and 2 Postdoc positions (100 % TV-L E13 for 2 years) with wet-lab or computational focus to decode microbial balance in a highly collaborative and multidisciplinary
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description You will be contributing to developing and implementing novel algorithms at the intersection of computational physics and machine learning for the data-driven discovery of physical models. You will
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innovative strategies to improve human health. HT is composed of five Centers: Health Data Science, Genomics, Computational Biology, Neurogenomics and Structural Biology. The Centers work together to enable
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aims to achieve reliable genome design and synthesis – engineering cells to have specific functions – which will be a major milestone in modern biology. A dedicated social science program will support