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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Job description:Postdoctoral Researcher (f/m/d) in Machine Learning and Surrogate Modeling for Geochemical Systems With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500
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evidence. · Investigating new ways to robustly and reliably evaluate domain-specific IR and RAG approaches to ensure that methods align with user expectations and preferences. · Collaborating with
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optimization. In this context, interdisciplinary research is strongly encouraged—particularly collaborations spanning computer science, computational linguistics, cognitive science, and the learning sciences
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designed to support a PhD pathway in collaboration with the Institute of Computer Science at University of Bonn. Be part of change Your research focus Learning- and optimization-based methods for physics
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of automated vehicle fleets and the design of future work organization. Requirements You enjoy working independently, want to drive new ideas forward, and are willing to acquire new skills to achieve your goals
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management of scientific research and consulting projects. Interdisciplinary collaboration with in-house and external research partners. Prepare your own scientific articles for the academic community
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sector pay agreement (TVöD EG 13; after interim evaluation TVöD EG 14). The successful candidate will have the opportunity to pursue a habilitation and to teach at the International Max Planck Research
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Max Planck Institute for Intelligent Systems, Tübingen, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 1 month ago
, biology and medicine. Using unique 3D & 4D capture facilities, machine learning, computer vision and advanced graphics, we are modeling every nuance of how humans and animals look and move. We develop
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involved in teaching at under/postgrad-uate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD
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to appoint a Doctoral Researcher (PhD), 75% (TV-L E13) to join the interdisciplinary research project NeuroAI ELSA Observatory (NEO). NEO is a collaborative, BMFTR-funded research project investigating