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. Research Focus The rise of powerful Large Language Models (LLMs) and autonomous AI agents is set to fundamentally change the practice of software engineering. As AI evolves from simple co-pilots to agents
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Generative Engine Optimization (GEO) is an emerging practice that aims to increase a brand’s visibility in content generated by AI models – much like SEO does for traditional search. As AI-powered “answer
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 2 months ago
to groundbreaking research and innovative solutions. Our flexible working models and remote options create a supportive environment for balancing work and family life. For us, contributing to a healthier society in
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 1 month ago
for estimating, understanding and forecasting demographic and health outcomes, at the individual and aggregate levels, including as they relate to life course and socio-economic and labor market dynamics. Modeling
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Max Planck Institute for Demographic Research, Rostock | Rostock, Mecklenburg Vorpommern | Germany | 3 months ago
, at the individual and aggregate levels, including as they relate to life course and socio-economic and labor market dynamics. Modeling, understanding and forecasting migration flows, including dynamics by age and
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the LandesTicket Hessen (Hesse StateTicket), in addition to opportunities to working mobile at times; Fit and healthy – free of charge preventive medical check-ups and a wide-ranging subsidised sports programme
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optimization of molecular biological assays (e.g., LAMP, qPCR) Establishment and use of cell culture models Sample preparation (e.g., cell lysis, adaptation to amplification methods, as well as quantification
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will be part of the Collaborative Research Center Transregio 277 Additive Manufacturing in Construction (AMC) in the new project B06: Material Modelling and Simulation of Deposition AM Processes
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methods (such as Machine Learning, Metric Learning, Reinforcement Learning, Graph Representation Learning, Generative Models, Domain Adaptation, etc.) for Design Automation applications. To this end, we
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more interested in software development? Or maybe you enjoy modeling? We are still the right place to be with our work on creating digital twins of components and test rigs, and due to our software