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Reference Number: 11239 Fixed-term for 3 years | Part-time with 65% | Salary according to TV-L E 13 | Clinic for Vascular and Endovascular Surgery – Laboratory for Vascular Biology We are UKM. We
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within a joint research programme. What will be your tasks? We monitor the ecological status of the Baltic Sea as part of national and international programs. A central component of this work is nutrient
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to scientists and investigate possible applications of ML in fields like Chemistry, Numerics, Computational Biology, Astrophysics, Heliophysics etc. You will be involved in all phases of this process. You will
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, electrical engineering, automotive engineering, physics, and similar technical fields of study Knowledge of LabVIEW, Python programming Enjoyment of experimental work and investigation What you can expect
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Max Planck Institute of Molecular Cell Biology and Genetics, Dresden | Dresden, Sachsen | Germany | 20 days ago
to disease models. Our team is collaborative, international, and inclusive; English is the working language of the institute. Main responsibilities The successful candidate will support the lab’s experimental
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 26 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Promotion Job description:PhD position for advancing data science methods
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CO2 conversion is beneficial. Demonstrated excellence in academic research. Strong interest to establish an original, world-class research program. Ability to work in an international team. Excellent
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, biology, biotechnology, biophysics or a related field), and current enrollment in a Master's program Practical experience with basic lab techniques (such as pipetting, preparation of buffers, etc
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
computational demography is a growing interdisciplinary field that tackles fundamental questions across all domains of population research by combining the methods and perspectives of computational sciences
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