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more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation
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complete) an M.Sc. (or equivalent) in Computer Science or a related discipline ML expertise: You have strong programming and deep learning experience (e.g., PyTorch, TensorFlow), backed by a substantial
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Unexplored inorganic nanomaterials Research Environment Support up to 10 million yen depending on the research plan at the time of arrival is available. Qualifications/Requirements 1. Possess a Ph.D. degree or
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command of written and spoken English (C1 Level). Collaborative, team-minded and pro-active attitude. High level of written and oral communication skills. Experience with the structures of the University
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tasks: The post has two components, a research component and a teaching component. In terms of research, you will be expected to: • Develop and implement a coherent and original programme of high-quality
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, regionally anchored top university as it focuses on the grand challenges of the 21st century. It develops innovative solutions for the world's most pressing issues. In research and academic programs
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mechanics, geosciences, physics, mechanical engineering or related disciplines #programming skills in one or more languages (Matlab, Python, R, C, Fortran) #excellent knowledge of English (written and spoken
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-data integration, data analysis and working with HPC. Scripting and programming experience are essential. · You like working in a team, explaining and presenting research ideas and results
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processes, · You enjoy both modelling, model-data integration, data analysis and working with HPC. Scripting and programming experience are essential. · You like working in a team, explaining
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. Activities of the successful candidate: Conduct extensive background literature analysis. Plan and organise experiments to define and test hypotheses and develop forefront research. Publish the results