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computational approaches, including artificial intelligence (AI), to unravel the mechanisms driving neuroimmunologic diseases. Your responsibilities: Plan and perform innovative large-scale experiments bridging
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apply: Strong interest in Social Justice, Criminal Procedure, Legal Theory and Human Rights preferably with a specialisation on the use of Artificial Intelligence in Governance and Justice Proven ability
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found on hpc.uni.lu . The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data
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biological systems, also in collaboration with other researchers and companies. Your profile Applicants should hold a PhD in Computer Science, Computer Engineering, Artificial Intelligence, Physics
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-based sensor data to enhance the prediction of peatland soil properties and functions. You will focus on leveraging machine learning/deep learning techniques along with explainable artificial intelligence
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contact Julien Schleich, Tel. +352 46 66 44 5337, email: Your profile PhD in Artificial Intelligence, Data Science, Educational Technology, Computer Science, or a related field Solid research background in
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Manage project reporting together with the Reseach support team at the faculty For further information, please contact Julien Schleich, Tel. +352 46 66 44 5337, email: Your profile PhD in Artificial
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biobanks. Project description DDLS Fellows program Data-driven life science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from
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and explainable hybrid Artificial Intelligence, i.e., the mix of formal knowledge representation and reasoning with sub-symbolic data-driven machine learning approaches, to work on car-driver digital
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therapies, cell programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development