17 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"U"-"Dr" 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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opportunities, as well as training in science communication and policy advice – thereby supporting the buildup of geo-economic expertise across Europe. The program is embedded in the Kiel Institute’s broader
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., sensor, field) coordinate and document data flows between citizen-science platforms, AI processing pipelines, and institutional or external repositories to ensure data integrity and traceability implement
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programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science through metaproteomics. The network addresses
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Commission under the Horizon Europe framework programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science
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programming skills (Python; ideally with experience in databases and cloud environments). Experience in image analysis and computer vision, ideally in the context of biological samples or materials science
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About the position We are pleased to offer a PhD opportunity in the field of computational materials science, with a focus on pioneering research in metal oxide growth and dynamics by hybrid
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the program coordinators ELIGIBILITY Applications are welcomed from outstanding scholars in the humanities, political and social sciences, education sciences or law, with a project firmly located in the field
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strong plus. Software & Workflow Engineering: Proficiency in Programming (e.g., Python, C/C++) for scientific computing; demonstrated experience building automation scripts, simulation workflows, or high
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under the Horizon Europe framework programme (Grant Agreement number 101225682). The METAMIC 3 project will embed Doctoral Candidates in a unique training environment to advance microbiome science through