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strong component in artificial intelligence (AI)-driven automation laboratories and data science to tackle pressing challenges in energy, environment, and bioeconomy. Preference will be given to candidates
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). Proficient in computer skills including e.g. spread sheets and word processing and statistical software. Familiarity with basic laboratory methods (making solutions, pipetting, operating autoclave and
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Intelligent and Clean Energy Systems (ICES) research unit at the Luxembourg Institute of Science and Technology (LIST) and will actively contribute to the EnerTEF project, funded by the Horizon Europe, in
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optimization of cryogenic detector systems and apply AI methods to analyze the data collected by these systems, addressing key physics questions related to dark matter and neutrino interactions. This position
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direction for future hardware accelerators dedicated to artificial intelligence. They enable the heterogeneous integration of computing units, memories, communication interfaces, and specialized functions in
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Computer Science, Artificial Intelligence, Cybersecurity, Data Science, Game Programming, Health Informatics, Human-Computer Interaction, Information Systems, Information Technology, Intelligent Systems Engineering
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on how organizations design and operate decision systems in environments where data, technology, and human judgment increasingly interact. Through the Economic Decision Systems Lab, organizations will
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, including MS Word and advanced MS Excel functions. * Strong communication and interpersonal skills, along with the ability to interact with a diverse constituent population. * Ability to work independently
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. Preferred Qualifications: Knowledge of the admissions process. Demonstrated proficiency with Word, Excel, and Outlook. Experience with WSU Student Information System. Experience with Slate CRM. Experience
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, heavy rainfalls, droughts, wildfires, and further compound events. The research programme will interact with stakeholders ranging from public health to finance, agriculture, and water management to