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developing more complex coupling schemes. The aim is to improve the prediction of natural resources in sedimentary basins. The PhD must have been awarded no more than three years before the start of
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for humanity and nature through global citizenship education"), funded by the André Losch Foundation and embedded within the University of Luxembourg's SciTeach Center (sciteach.uni.lu), a teacher education
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• Knowledge of multimodal data processing (time series, text, signals, etc.) • Familiarity with Large Language Models (LLMs), natural language processing, and reasoning based AI • Understanding
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the chiral bias of meteoritic isovaline through asymmetric photochemistry. Nature Communications 14, 3381 (2023). iii) Ribose and related sugars from ultraviolet irradiation of interstellar ice analogues
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? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new enzymatic processes operating under mild reaction conditions to
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Programme? Horizon 2020 Is the Job related to staff position within a Research Infrastructure? No Offer Description This project aims to develop new catalysts (heterogeneous catalysts) and catalytic processes
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of teaching per year Contribution to the outreach activities of the Department of mathematics Your profile PhD of high quality in mathematics, in Geometry or closely related topics Research experience in
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will rely on advanced rheophysical, microscopy, and microfluidic techniques, as well as on the use of natural polymers derived from biomass (pectin, cellulose, hemicellulose), whose properties will be
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other type of approach (deterministic or stochastic) motivated by the nature of the data. Calibrate models based on data (data-driven modeling). Perform theoretical analysis of the models. Participate in
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Post-doctoral Researcher in Multimodal Foundation Models for Brain Cancer & Neuro-degenerative Disea
Qualifications PhD in machine learning, computer vision or a related field. Established expertise in deep learning methods applied to images analysis. Experiences with generative models, volumetric image