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in unprecedented ways. She/he will play a central role in directing and carrying out the above program, drawing on the skills present in the two partner groups. More generally, she/he will also benefit
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-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme's partner institutions: University of Luxembourg, Luxembourg Institute
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, or examples, these aspects are of utmost importance and need to be explored to provide convincing and well-grounded arguments [1]. This PhD program will propose to explore advanced methods to detect implicit
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signatures. We hypothesize that this unique program may represent an ancient state of some skeletal muscles fibres and be required for unique mechanical functions. This project aims to address the following
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file named in the following format: LAST NAME of the candidate_Last Name of the supervisor_2023.pdf Description of the topic: Federated learning (FL) enables multiple stakeholders to collaboratively
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We are recruiting a highly motivated and experienced researcher to develop and structure a research and educational program dedicated to kidney cancer. The position is supported by a 3-5 year fixed
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staff, the course schedules, the teaching programme in close contact with the Director of the study, the study program administrator and the project officer Your profile PhD or equivalent degree in
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. Indeed, when multiple sources exist in the vicinity of a same sensing unit, their signatures mix and estimation of individual sources is disturbed by the other co-occurring sources. The aim of the doctoral
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is replaced by multiple objectives or by satisfactory balance between different criteria. References [1] J. A. Bærentzen, J. Gravesen, F. Anton, and H. Aanæs, Guide to Computational Geometry Processing
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Lomet, Research Engineer in AI at LIAD, CEA Saclay · Marianne Clausel (University of Lorraine), scientific lead of the national PEPR causali-t-ai program, · Myriam Tami, Associate Professor