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, RNA seq, single cell sequencing, spatial transcriptomics), bioinformatics tools and human studies. Your profile: PhD in bioinformatics, oncology or computational biology profound experience in 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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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
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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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reports Develop and apply software tools Document software and data according to the FAIR data principles Contribute to workshops and training activities Your Profile: Master with subsequent PhD degree in
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career scientist with PhD(or equivalent) in Plant Biology, Biochemistry, Molecular Biology, Analytical Chemistry, or related field interested in integrated plant metabolomics and proteomics. Hands
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: Masters and subsequent PhD in Physics, Chemistry, Material Science or related disciplines Experience in neutron spectroscopy, e.g. INS, QENS, NSE Good knowledge of the structural characterization of matter
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requirements PhD in molecular biology, biochemistry, or a related field Extensive expertise in protein biochemistry and molecular biology Experience with animal experiments, ideally with FELASA B certification
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Max Planck Institute for Plasma Physics (Greifswald), Greifswald | Greifswald, Mecklenburg Vorpommern | Germany | about 2 months ago
Job Code: gw25/032 Job Offer from July 03, 2025 The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is one
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23.07.2025, Wissenschaftliches Personal The Ecosystem Dynamics Group at the TUM School of Life Sciences, Technical University of Munich studies how ecosystems change in time and space. We quantify