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Scientific Personnel 05.03.2026, Academic staff BioSysteM Cluster of Excellence at TUM invites applications for a Postdoctoral Researcher (m/f/d) to lead and further develop the Protein Design
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Gorlitz, Sachsen | Germany | 3 months 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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new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual implementation of new design automation methods and software for your field, e.g
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-disciplinary research hub for AI-based adaptive teaching. The goal is to research and design evidence-based adaptive learning systems and translate them into school practice — systems that provide individualized
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Max Planck Institute for Political and Social Science, Göttingen | Gottingen, Niedersachsen | Germany | 9 days ago
, survey research, and qualitative analysis. TICA's empirical work is primarily focused on the Middle East and North Africa. Your tasks Conduct quantitative research for the project, including survey design
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imaging and spatial omics instruments. Work closely with users to understand image/data acquisition pipelines and inform computational processing accordingly. Support users in experimental design
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, to develop and interrogate biological design principles across eukaryotic systems. A central goal is to use yeast as a genetically tractable model system, followed by work in mammalian models, to establish
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, to develop and interrogate biological design principles across eukaryotic systems. A central goal is to use yeast as a genetically tractable model system, followed by work in mammalian models, to establish
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including the design of self-driving labs for the autonomous design of new polymers and materials for energy storage and conversion. Summary, presentation, and publication of the results (in English). Your
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the design of an AI test environment for open-source Large Language Models (LLMs). Research on the influence of low-frequency expert data on LLM-based systems and development of robust strategies