15 computer-science-programming-languages-"the"-"FEMTO-ST-institute"-"O.P"-"Dr" positions at Leibniz in Germany
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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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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
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of the PhD programs at the University of Göttingen (see www.gauss.uni-goettingen.de ). The project is highly collaborative and will benefit from working with experts in computer and data sciences, behavioral
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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