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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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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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B2 level of proficiency in Dutch. As soon as you take on teaching duties as a programme component coordinator, you should be able to demonstrate a CEFR C1 level of proficiency in the language of
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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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the FNR JUMP programme at the SnT research centre and to join SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan ). The successful candidate will work closely with the project lead and team
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applications in fundamental research, biotechnology and synthetic biology. Our multidisciplinary research combines high-throughput genome editing, state-of-the-art genomics methods, and computational biology
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between information systems, computer science, and energy markets Support the conceptualization and writing of research proposals to attract industry partnerships as well as national and European grant
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programming (Python) and Linux skills is a must Knowledge in plant biology or single-cell genomics is a plus You have good communication skills, are a team player, and are proficient in English We offer a 3
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software are essential. Knowledge of Solidworks or similar CAD program, Matlab, Labview, PLC is a plus. For this job we expect the following qualities: • Eager to learn: urge to quickly acquire and
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the teaching activities of the University's Cybersecurity Master program and supervise Master students Dissemination: Present your research results at scientific conferences, journals and technology events Your