193 computer-science-programming-languages-"St"-"FEMTO-ST-institute"-"ST" positions at Leibniz
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programming experience, but no background in economics—or vice versa—we still encourage you to apply. We are particularly interested in people who are motivated to learn about how research works and to acquire
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in environmental science, geography, computer science, quantitative social or political science, physics, ecology, economics, or related fields general knowledge of climate research ability to solve
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the Editorial Board of the scientific journal Soil Organisms Participation in academic teaching at the MSc level programs of Dresden University of Technology Your Profile Doctoral degree in zoology or a related
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Student or Scientific Assistant for Remote Sensing Data Processing and Cloud-based Workflows (f/m/d)
of processing steps and results Your qualifications: Ongoing B.Sc. or M.Sc. studies in geosciences, environmental sciences, geography, agricultural sciences, computer science, or a related field at a German
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Service) applications support the C3S Agriculture Micro-site and Mediterranean Demonstrator with agronomic insights and data Your qualifications: PhD in crop science, computational environmental science, or
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area D, Open Research Knowledge Graph, is looking to employ a Research Software Engineer for “Physics Ask” (m/f/d) to work in Team
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; German would be desirable Initiative, motivation, commitment, and scientific curiosity We offer a structured PhD program, exciting research topics, a stimulating international environment, a good
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skills, excellent organizational abilities, and the capacity to plan and execute experiments independently and adaptively. Fluency in spoken and written English. Willingness to supervise students in
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software such as IGOR, R, MATLAB, etc. including programming skills would be beneficial Background knowledge in atmospheric chemistry and physics would be beneficial For any questions, feel free contact Prof
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of technical documentation. Your profile: A completed university degree (Master's or equivalent) in Bioinformatics, Computer Science, Life Sciences, or a related discipline. Strong expertise in database