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mathematics, computer science, physics, biomedical or electrical engineering or similar disciplines. Good programming expertise (Matlab, C++, Python or equivalent) and experience with the Linux operating system
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skills in computational molecular (bio)physics, structural biology and scientific computing, as well as a keen interest in interdisciplinary research and collaboration with experimental groups. PhD
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Ph.D. or equivalent degree in mathematics, physics, computer science, bioinformatics, or a related field Experience in developing deep learning models Ideally, prior experience in analyzing biological
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. We embrace diversity, promote potential and are committed to educational justice worthy of the name. The University of Duisburg-Essen (UDE) at the Duisburg Campus, in the Faculty of Physics, is looking
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, and computation in a collaborative environment, offering postdocs the chance to lead high-impact, interdisciplinary projects at the forefront of neuroengineering. We are recruiting a highly motivated
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; Couple the model to a 1D physical model (GOTM) through the FABM framework; Validate the coupled model using published and newly gathered observational data; Conduct numerical experiments to understand
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evolution, molecular microbiology, synthetic communities, and computational biology. The project aims to pioneer a novel form of phage therapy by engineering prophages—phages integrated into bacterial genomes
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Area of research: Scientific / postdoctoral posts Job description: Researcher - Engineering & Physics for Biomedical Innovations (f/m/x) 102788 Full time 39 hrs./week Neuherberg near Munich
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. Please indicate in your application which of the above listed projects is most intriguing for you. Your profile Eligible candidates have strong skills in computational molecular (bio)physics, statistical
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Experimental Nuclear Physics (all genders) Posting ID: 25.64-1270 within the HISPEC/DESPEC collaboration, being one of the largest collaborations of the NUSTAR (Nuclear Structure, Astrophysics and Reactions