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time 100 %, initially limited for 4 years with possible tenure) The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
To strengthen our team in the division “Acoustic and Electromagnetic Methods" in Berlin-Steglitz, starting 01.01.2026, we are looking for a Postdoctoral researcher (m/f/d) in the field of physics
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on performance and project needs. **Qualifications** • For Doctoral Candidates: Master’s degree in Computer Science, Information Systems, or Mathematics. **Applicants must demonstrate:** • An excellent academic
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available in the further tabs (e.g. “Application requirements”). Objective The scholarship programme “Leadership for Africa” (LfA) aims to support the academic qualification and advancement of young refugees
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme sets up paid and unpaid internships mostly in the fields of business administration and marketing, business
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for the treatment of infectious diseases. As part of the structured doctoral program International Leibniz Research School ILRS 2.0, we invite talented candidates to apply for 9 Doctoral Researcher (m/f/div
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)Informatics/Data Science or related disciplines is desirable. The positions focus on the development and application of new methods to predict multi-omic traits and phenotypes from large genetic datasets. More
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engineering, computer science or a comparable subject You have good experience in Python You have basic knowledge of the theory and methods in machine learning Good language skills in German and/or English What
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Your Job: Be part of an engaged, interdisciplinary team of scientists and engineers with diverse backgrounds and skills at the interface of neuroscience and computing Coordinate a third-party funded
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high-resolution, quantitative time-lapse soil property measurements using high-performance, parallel computing. Together with our existing rich dataset, we will inform a soil-plant digital twin, enabling