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Field
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. The specific focus of the PhD projects will be tailored to the candidate’s interests and will align with the objectives of the aforementioned consortia. These projects work at the interface of the gut microbiome
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microscopy should not be the main focus. The candidate should demonstrate a strong track record in research, teaching, and the acquisition of third-party funding. They should possess collaborative skills and a
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reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming languages (C++, Python, or Julia) is highly relevant. Knowledge
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 24 days ago
to participate in one of several available PhD programs, with three years funding, in collaboration with the University of Göttingen. Masters students aiming at a fast track PhD are also welcome. The Postdoc
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 hours ago
neuroscience, a related STEM field, or medicine. The ideal candidate also has: An excellent academic track record Prior research experience in an experimental setting A thorough understanding of systems
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University of Veterinary Medicine Hannover • | Hannover, Niedersachsen | Germany | about 4 hours ago
Description/content The primary objective of the course of study is the interdisciplinary advancement of young researchers in neurosciences. In the rapidly changing field of neurobiology, the danger
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Max Planck Institute for Biology Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | 3 days ago
ruminants, with the long-term goal of creating knowledge and tools needed to mitigate this potent anthropogenic driver of climate change. Our department has a proven track-record for cutting edge research
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two laboratories we generate analogue data for space missions with astrobiological mission objectives. We are looking for a student with enthusiasm for space missions, ideally with experience in mass
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modeling. Central to its objectives is the development of methods for monitoring and culturing tailor-made organoids, assembloids and co-organoids for inter-organ communication towards AI-supported large
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areas is expected: numerical analysis, scientific computing, model reduction, uncertainty quantification, machine learning, fluid mechanics. Experience with scientific object-oriented programming