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Heidelberg Institute for Theoretical Studies (HITS gGmbH) | Heidelberg, Baden W rttemberg | Germany | 14 days ago
Program Description Think beyond the limits! Do you have an ambitious research idea that you wish to pursue in your postdoc? Are you interested in theoretical or computational science in
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Computer Science, or another subject of relevance for the project. Documented knowledge and proven research experience in the area of designing algorithms and methods for data privacy and machine learning is
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members Sriram Pemmaraju and Sourya Roy on sampling problems in the distributed and parallel computing setting. The ideal candidate will have research experience in sampling algorithms and related areas
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the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description IPANEMA is recruiting
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Date 1 Nov 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We
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trajectory optimization, nonlinear programming, or genetic algorithms. High-performance computing (HPC), parallel numerical workflows, or GPU-accelerated model execution. Terms of Appointment This is a full
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from EMG, motion capture, dynamometric, or stabilometric systems, mathematical modeling, biopotential analysis, bio-algorithms, or computational neuroscience projects); good command of English, enabling
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into broader health informatics systems. Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases. Presents findings in department
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partners. Who we are looking for The following requirements are mandatory: A doctoral degree in mechanical engineering, mathematics, physics, computer science, or a relevant field of fluid or structural
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into broader health informatics systems. Provides expert annotations for training large language models (LLMs) and NLP algorithms, focusing on healthcare-specific use cases. Presents findings in department