192 computer-science-programming-languages-"St"-"ST"-"University-of-St" positions at Leibniz
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, enrolled in a Bachelor’s or Master’s program in economics, finance, data science, or a related field. Comfortable using Stata or Python/R (or other analytical tools). Detail-oriented, methodical and able
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the Life Sciences Very good English language skills (oral and written) What we offer Working as part of a highly motivated team in a state-of-the art, international research environment with excellent core
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server infrastructure for data analysis interdisciplinary working environment and very good conditions for developing your scientific career and networks doctorate within a structured program The DSMZ
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command of English. You can expect: A motivated, multi-cultural team of international researchers. Multi-faceted research work that includes fundamental scientific research, science communication, and
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computer scientist with programming experience, but no background in science communication - or vice versa - we still encourage you to apply. Your tasks and duties will be a subset of the following
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to program in the statistics framework R, and have worked in Python and Java Knowledge of metabolomics or chemistry will be an advantage Our benefits: Excellent working conditions in an international
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scenarios and analyse their data to validate the coupled biogeodynamic model. to interact with members of the biogeodynamics modelling group and program area 4 at regular meetings as well as with others from
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-based data to understand the complex relationship between environmental conditions and human health and behavior. The project engages interdisciplinary collaboration involving health sciences, earth and
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, Physical Oceanography, and Marine Observation) cooperate within the framework of a joint research program. Project and job description Within KOFI, the long-term carbon storage of marine sediments and the
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research program. What will be your tasks? The successful candidate will work closely with scientists, postdoctoral researchers, and doctoral students within the department, as well as external researchers