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the following topics: Large Language Models and Multimodal Language Models Generative Networks and Diffusion Models Program Analysis Software Testing Automation The candidate should have critical thinking and
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an internationally recognized research programme focused on manufacturing process automation, and will be required to conduct research with high impact in their chosen fields in the following research areas: Smart
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systems within computer science and engineering while collaborating with Luxembourg's Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW
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and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/ Candidates will be enrolled in the PhD program in Computer Science
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students in the field of electrical and electronics engineering, with a clear commitment to the quality of the programme as a whole. You are enthusiastic about next-generation engineering education and are
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challenge. We welcome applications from candidates who have the potential to set up an innovative and internationally oriented research program aimed at elucidating the role and directing the use of microbes
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Networks, and ICT Services & Applications. This industrial PhD position is part of the "Autonomous Systems for Land, Air and Space" (ATLAS) IPBG Programme co-funded by the FNR, SnT, and a consortium of
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should possess an M.Sc./M.Eng. degree in one of the following fields: Electrical and Electronics Engineering, Telecommunications Engineering or Computer Science/Engineering. Experience: The candidate
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from omics data, proficiency with computational programming (e.g. R language/Python), analysis of publicly available cancer genetic expression datasets, and skills in application of statistical
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The team you will be working with: Maxime Cordy Mike Papadakis Your profile A PhD in Computer Science, Software Engineering, Programming Languages or related disciplines. Documented research expertise in