12 programming-"https:"-"https:"-"https:"-"Data-driven-Materials-Modeling" positions at Heidelberg University
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to three years. It offers substantial freedom to establish an independent research program while contributing to the group′s collaborative research, teaching and laboratory activities. Postdoctoral
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as environmental and archeological archives", funded under the bilateral WEAVE program by the German Research Foundation (DFG) and the Czech Science Foundation (GACR). The TARGYT project investigates
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an independent, internationally competitive research program that enables the targeted programming of immunological processes in various biological applications, such as immunotherapy. The professorship is
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partners in the MOSAIC consortium, preparation of documentation and representing LSW in progress meetings and project reviews, and participation in the formulation of the MOSAIC science program. Your
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program. We are seeking a dedicated, academically outstanding researcher with strong teamwork skills to fill the Chair of English literature and strengthen the English Department. Your responsibilities: In
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, data science or a comparable life-science or quantitative discipline Strong programming skills in R and/or Python, and experience developing reproducible, maintainable computational workflows using
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members or visitors in technologies and protocols used in the laboratory Your Profile: Degree from state-certified training program for technical assistants or Bachelor’s degree from accredited university
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Umfeld für exzellente Forschung und Lehre Eine moderne Forschungsinfrastruktur, Angebote für zusätzliche Weiterbildung und Mentoring-Programme für einen erfolgreichen Start Ihrer Karriere an der
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of family and career Support for your personal and professional development through Heidelberg University′s internal educational program Salary in accordance with the provisions of the Collective Agreement
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at 75%, provided that the personal and collectively agreed requirements are met. Project Description: The research project, funded by the Emmy Noether Programme of the German Research Foundation (DFG