132 programming-"the"-"DAAD"-"UCL"-"U"-"SciLifeLab"-"U.S"-"IDAEA-CSIC" positions at Leibniz in Germany
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collaboration with cooperating institutions and enrolment in a local PhD program Excellent technical equipment, a wide range of experimental methods and a dynamic and interactive research environment Remuneration
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programme Generous support for your pension provision as a direct insurance policy Promotion of your skills through further training measures Contact For further information concerning the tasks please
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funding programme therefore invites young scientists in Southeast Asia to submit project applications for field and/or laboratory research, in particular for explorations and excavations of new fossil sites
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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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with the research groups at the DPZ and the Göttingen Campus. PhD projects cover a broad range of topics. A structured PhD program will offer many opportunities for the development of scientific and
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, magnetic fields) and programming skills (e.g. Python) are desirable. Remuneration is based on the TV-L (EG 13, 26 h/week). The contract is limited to 3 years, which is the project duration, set by the German
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social science degree program (preferably political science, sociology, data science, or a related discipline); at least in the third semester of a BA program or enrolled in an MA Very good skills in
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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
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quantitative skills and programming skills in R Experience with field work in remote and/or tropical areas Ability to work under physically demanding conditions Strong interest in the analyses of ecological