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Computer Science, Artificial Intelligence, Cybersecurity, or related fields Expertise in AI and ML applications for cybersecurity and threat analysis Knowledge of supply chain security challenges and
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in their decisions and businesses in their strategies. You will join the Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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Post Doctoral Researcher in Human-Centered AI for Software Engineering, Department of Electrical ...
The Section for Software Engineering and Computing Systems, at the Department of Electrical and Computer Engineering (ECE), invites applicants for a two-year postdoctoral position within the area of
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Qualifications for Project D To qualify for the fellowship, the candidate should have a PhD degree, or a foreign degree that is deemed equivalent in computer science or biology. The ideal candidate has either a
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of research funding Your profile... The candidate should possess a PhD degree in Computer Science, Software Engineering or a related field The ideal candidate should have some knowledge and experience in
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starting July 2025, and will remain open until excellent fits are found. The successful candidate will develop and apply computational approaches to chemical datasets, with artificial intelligence/machine
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candidate who just completed the PhD) and innovative Postdocs/Laser Scientists to join the IGNYTe project which is funded by the German Ministry of Research, Technology and Space in the scope of the Fusion
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+ imaging, data analysis and neuronal circuits. Requirement PhD in neuroscience, computer science or a related field High motivation for explorative research Experience in neurophysiology (electrophysiology
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Recruitment Seek PhDs skilled in data mining, AI, nano-optics, and protein-structure analysis Preference for candidates with multi-disciplinary or industry–academia–research collaboration experience Development