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the eDIAMOND project, namely: Distributing model training and inference over a network of resource-constrained devices. Online, context-aware adaptation of Federated Neural Network Architectures based
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Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Mathematical Modeling and Machine Learning Doctoral Candidate
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Doctoral Candidate in computer vision and machine learning for developing novel deep learning method
funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Department of Mathematical Modeling and
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of the following projects: Project A – Synthetic Data for Theory-Driven Behavioral Research This project investigates how large language models (LLMs) produce synthetic responses to psychological experiments and how
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challenges in medical and surgical robotics that correspond to unmet clinical needs. We pursue two complementary approaches: (i) advancing foundational robotics capabilities in actuation, sensing, surgical
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required) Skill Experience with nutritional, immunological (LPS) or metabolic models in animals. Familiarity with laboratory techniques in biochemistry, metabolomics, or bioinformatics. Exposure to mass
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setups with machining tools and employing additive manufacturing techniques (3D printing) Support and develop experiments, including feasibility checks and technical design with CAD tools and FEA (Finite
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reinforcement learning for large language models (LLMs). Research directions include developing next-generation post-training algorithms, exploring diffusion-based approaches to reasoning with language models
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address fundamental and technological challenges in medical and surgical robotics that correspond to unmet clinical needs. We pursue two complementary approaches: (i) advancing foundational robotics
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Description Two PhD positions in atmospheric selenium research: field & lab analyses and process-based modeling We are seeking two highly motivated and curious PhD students to join the Inorganic Environmental