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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | 5 days ago
external funding (e.g., travel grants, PhD fellowships) We offer A securely funded position with an internationally competitive postdoctoral salary, outstanding employee benefits, and a family-friendly
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for the School’s PhD program. We offer regular public lectures and symposia, weekly discussion groups, and visiting researcher programs. We maintain close collaborative ties to other parts of TUM as
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other actors conduct workshops with canteen cooks and farmers in collaboration with project partners Your qualifications: PhD degree in agricultural sciences, e.g. with a focus in agronomy, agro-ecology
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bring to the table PhD in biotechnology, microbiology, molecular biology, or a related field Experience working with strict anaerobes, ideally with Clostridia Strong hands-on skills in molecular biology
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our website: https://www.physik.fu-berlin.de/en/einrichtungen/ag/ag-mueller/index.html : As a PhD student, you will work within the DFG-funded project ‘Luminescence Upconversion Nanoscopy – LUNA’, which
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possible date. Candidate’s profile: A PhD (or equivalent) in biology, immunology, microbiology, biochemistry, biotechnology, or a related discipline; candidates about to obtain their degree are welcome
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reduction and uncertainty quantification for biological flows. The goal of the project is, in particular, the development of robust methods to quantify the propagation of domain uncertainties in
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within an interdisciplinary research team Your Qualifications: University degree (PhD, M.D., or equivalent) in Biology, Life Sciences, or Biomedicine Strong motivation and a genuine interest in stem cell
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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methods to quantify the propagation of domain uncertainties in cardiovascular simulations, especially with regard to the estimation of biomarkers for image-based diagnostics. The project is a collaboration