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RESEARCHER (M/F) with the ANR MIJMA (International Migration of Young Africans and Minors to Europe.
experience and analysing the early forms of 'becoming an adult' revealed by the reasons for leaving the country of origin, reinforced by the migration journey, and either established or thwarted by settlement
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, and rigorously evaluate machine learning and deep learning models (CNNs, DNNs, transformers, graph neural networks, diffusion models, multimodal models, reinforcement learning) as well as software
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collaboration with the PI and lab members. Design, implement, and analyze behavioral and neuroimaging (fMRI) experiments. Develop and apply computational models (e.g., reinforcement learning, drift-diffusion
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27.02.2026, Academic staff Cancer kills through metastasis, yet we still cannot reliably predict which patients will develop it or trace metastatic disease back to its origin. As part of the BMFTR
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(MPC) and Reinforcement Learning (RL) have proven effective in isolated studies, their widespread deployment is hindered by the lack of interoperability, the high cost of model creation, and data
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under uncertainty (e.g., planning, reinforcement learning, probabilistic reasoning); Multimodal information fusion and state estimation; Foundational or representation learning models for robot
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for the future of mobile and satellite communications. Fields of applications range from 5G/6G telecommunications to satellite-based internet connectivity. For details, you may refer to the following: https
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-efficient, open-loop optimisation of fermentation control profiles, building on recent theoretical developments in optimal control theory, reinforcement learning and numerical methods as well as laboratory
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learning and/or reinforcement learning under practical constraints is an advantage. Publication activity (e.g., conference/journal papers, preprints, or open-source contributions) in relevant areas
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refer to https://www.uni.lu/snt-en/research-groups/sigcom/ . Your role The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. This PhD project aims to develop