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the space of Radon measures which does not possess an Hilbert structure and is not reflexive, which prevents the use of standard proximal algorithms. The post-doc candidate will have to work in this respect
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live in. Your role We're looking for a Full Stack Developer to join our team for six months on a Research and Development position at University of Luxembourg, working closely with a Post-Doctoral
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on stochastic Riemannian optimization algorithms, these methods still suffer from limitations in computational complexity. The post-doctoral fellow will build upon this preliminary work to investigate
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(clinical, food, veterinary) at the international level, with the aim of strengthening international collaborative links and securing future funding. Profile Young scientist (PhD and ideally post-doctoral
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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(post) doctoral training. They should be open to interdisciplinary collaborations with both academic and industrial partners. Your profile The Faculty of Science, Technology, and Medicine (FSTM) seeks a
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projected new Master's programme and to teach within the doctoral and lifelong learning programmes of the university For further information about the role, please contact: Prof. Dr. Boris Traue, Director of
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/research/ Your academic profile: Doctoral degree/PhD Two years of international research experience during or after doctoral studies Outstanding research achievements, excellent publication and funding
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development and The postholder will also have the opportunity to contribute to the construction of a projected new Master's programme and to teach within the doctoral and lifelong learning programmes
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Location:Neural Coding in the Auditory System group, Institut de l’Audition , Paris. Type of contract: 12-month fixed-term contract (CDD) – The contract is initially for 1 year but can be extended