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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
probability theory and a great interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree in physics
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or computational approaches to study biological systems in close collaboration with experimental groups at the MPI-CBG and the TUD. Ideal candidates should have backgrounds in physics, computer science, mathematics
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and probability theory and great interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Masters or equivalent degree in
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(HSC) homeostasis and long-term immunity. In this role, you will move beyond traditional models by integrating inflammatory challenges with a sophisticated experimental pipeline that spans self-generated
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and ambitious team on a competitive project, and who fits the following profile: PhD in molecular biology/biochemistry/molecular medicine or related fields Extensive experimental training in molecular
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mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students hold (or expect to complete soon) a Master’s or equivalent
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learning approaches for high-dimensional data, and programming skills in R or Python. Profile Track 2 – Experimental Immunology / Bone Marrow Biology / Trained Immunity Candidates with an experimental
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about bioinformatics and eager to work in an interdisciplinary team? In our group, you will work on the following tasks: Develop and adapt bioinformatics approaches for experimental design, data analysis
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programming languages such as Python is advantageous. Practical laboratory skills and an enthusiasm for experimental work are highly valued. Participation in teaching activities (e.g., supervising practical
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the Federal Ministry of Research, Technology and Space (BMFTR) in collaboration with the Galaxy Community Hub . The candidate will be part of a team and work together with experimental scientists and research