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integrating these distinct technologies in a multi-robot, multi-operator environment, the question arises of how to improve overall system design and communication between process building blocks. Therefore
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | about 1 month ago
Job description:Postdoc (f/m/d) on Generative AI for de Novo Protein Design With cutting-edge research in the fields of ENERGY, HEALTH and MATTER, around 1,500 employees from more than 70 nations
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Postdoc (f/m/d) on Generative AI for de Novo Protein Design / Completed university studies (PhD) ...
Area of research: Scientific / postdoctoral posts Starting date: 01.02.2026 Job description: Postdoc (f/m/d) on Generative AI for de Novo Protein Design With cutting-edge research in the fields
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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. The successful candidate will be joining the STM on 2D Quantum Materials Group led by Prof. Dr. Carmen Rubio-Verdú. MAIN RESPONSIBILITIES: Design and fabrication of devices Measurements in STM Data analysis
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Applicants must have a PhD in Computer Engineering, Computer Science, or Electrical and Computer Engineering, and have published their research in prestigious conferences and journals in related
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Our objectives are the design, synthesis and thorough
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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commitment to the implementation of spatial justice and the SDGs, and the inclusion of local actors in coastal urban design and governance. You will contribute to the intellectual life of AHUWA centre. You
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in