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possibilities for career development and networking A broad range of gender equality measures An educational programme The opportunity to apply for pilot project funding For inquiries, please contact: Dr. Nina
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of heart disease Your studies will take advantage of in vitro and in vivo pre-clinical models, including hiPSC-derived systems The postdoctoral project will combine experimental (wet-lab) and computational
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research environment For inquiries, please contact: Univ.-Prof. Dr. Friedemann Kiefer, fkiefer@uni-muenster.de Apply now via our career portal until 30.07.2025, including: Cover letter describing your
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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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; company holidays between Christmas and New Year's Day #very good compatibility private and professional life; offers of mobile and flexible work #free assistance program for employees (EAP) #corporate
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Postdoctoral Researcher as a Junior Research Group Leader (m/f/d) - Research on and Implementation o
the TüDiLab - Prepare competitive grant applications for third-party funding - Collaborate with researchers from the Tübingen School of Education (TüSE; https://uni-tuebingen.de/en/einrichtungen/zentrale
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, preferably in Python, Fortran, Matlab or R #experience in the environment of High Performance Computing (HPC) is desirable, but not mandatory #capability to work in a team but able to formulate and carry out
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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extraction of marine microorganisms Investigating their chemical capacity by comparative genomics and metabolomics (computational untargeted metabolomics using LC-MS/MS-based molecular networks) Fractionation