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We are seeking a highly motivated postdoctoral researcher to join our group and contribute to advancing the spatial scalability of forest dynamics models in support of integrated forest management
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Language Processing (NLP)/Large Language Models (LLMs) with a focus on high impact research. Key Responsibilities: Conduct research in: Multi-Agent Systems and Reinforcement Learning (e.g., DDPG, PPO, MARL). NLP
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, imaging informatics, and large language models (LLM) is preferred. This position will require collaboration with multiple stakeholders, including informatics experts, clinicians, basic scientists, and
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complex information, providing informed reports and recommendations. You will possess: advanced computer literacy skills; proficiency in modelling and data visualization tools (e.g., Excel, Power BI
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into biologically relevant hypotheses about the physiological and pathological mechanisms of mental processes. Responsibilities: Develop and implement relevant computational models relative to specific behaviors and
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, at the rank of professional specialist. The role will analyze and model the delivery of clean energy and industrial decarbonization infrastructure associated with net-zero transition research projects
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Computer Vision: OpenCV, scikit-image, ITK, SimpleITK Generative AI: Stable Diffusion, GANs, VAEs, Diffusion Models Imaging Tools: DICOM handling, 3D Slicer, ImageJ MLOps: Docker, Kubernetes, MLflow, DVC
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, Control Engineering, Mechatronics, Computer Science, etc. Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation
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engineering. This unique position combines cutting-edge computational modeling with hands-on laboratory experimentation to design and validate novel proteins using state-of-the-art protein language models. Key
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission