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or equivalent and a PhD (or close to completion) in computer science, math or comparable, or an applied/life science (e. g. engineering, biology, medicine) with a focus on data analysis and/or machine learning
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Physics Theoretical Physics / Complex systems including applications to biology Complex Systems (more...) Computer Simulation Fluid Mechanics Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
-generation sequencing, computational biology, and genetic engineering strategies to drive these goals. The Group is within the Department of Microbiome Science, led by Prof. Ruth Ley. The project Methanogens
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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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conferences (including presenting your research results) and preparation of scientific publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong
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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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publications with Peer-Review Your Profile: Completed university masters degree (physics/chemistry) with a PhD Strong knowledge and experimental experience in X-ray photoelectron spectroscopy Suitability to work
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for the production of heat pipe components Your Profile: Completed university degree in mechanical engineering, physics, materials science, computational engineering, or a related field, with a PhD or Master degree
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working at the boundaries of several research domains PhD degree in computational biology, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and
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activities. Your Profile: Master and PhD degree in astronomy, physics, computer science or equivalent fields of study. Proven experience in N-body simulations and the comparison of simulation and observation