161 programming-"https:"-"FEMTO-ST"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" positions at Leibniz
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PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration according to TV-L, level 13 (65 %), plus annual special
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. Your task: The applicant will be part of a research project in the Department of Immunology (Dr. Bloemendaal) investigating the role of the gut microbiota in the gut-immune-brain-axis, specifically
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preferred. Further information: For questions, please contact Dr. Andreas Kunzmann, email: andreas.kunzmann(at)leibniz-zmt.de Details of position: Salary will be paid according to the German TV-L (EG 13
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special payment) Contribution to your company pension plan (VBL) On-site opportunities for health promotion How to apply and information: For further information, please contact Dr. Steffen Neumann , Tel
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Oceanography, Marine Geology and Marine Observations work interdisciplinary within a joint research program. The doctoral thesis will be based in the working groups Organic Trace Substances (Organic Trace
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related field Demonstrated experience in geospatial analysis (GIS) and proven skills in hydrogeological or hydrological modeling Proficiency in programming (e.g., Python) Ability to handle large datasets
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and assess their applicability in coastal environments. The position will be based in the ZMT’s program area (PA2) Impacts of Global Change and Adaptation and will actively contribute to its objectives
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perspectives on peace and conflict, and so on. The activity plan should be envisioned in connection with the production of the Visualising Conflict/Peace Atlas, as well as producing your own journalistic output
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team led by Dr. Michael Stolpe and the doctoral program of the interdisciplinary Research Alliance Leibniz INFECTIONS. The group cooperates closely with leading medical researchers, biologists and social
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, or multimodal architectures, Strong programming skills in Python, with experience in Machine Learning and Linear Algebra Libraries (preferably PyTorch, also JAX, TensorFlow). Experience in CUDA programming is