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Field
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we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and
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- 00:00 (UTC) Country Italy Type of Contract Other Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within
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Presentation Scope All schools History News 2026 School Introduction Registration Program Recordings Committees Sponsors Contacts Repository Lectures by topic Lectures by author Search lectures 2025 2024 2023
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computing, cloud-based computing environments, workflow-management systems, containers, and/or software development practices. Experience with machine learning, predictive modeling, or artificial intelligence
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Research Framework Programme? European Union / Next Generation EU Is the Job related to staff position within a Research Infrastructure? No Offer Description Come join IMT Mines Alès, a prestigious “grande
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, integrates, and evaluates innovative solutions in autonomous systems, including artificial intelligence (AI), machine learning, robotics, control systems, sensing technologies, and related disciplines
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computational chemistry. The candidate will be expected to fruitfully work with MCG chemists and physicists as well as make connections across the laboratory. Major Duties/Responsibilities: Design and execute
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collaboratively is also essential. Must be computer literate with proficiency and working knowledge of database and reporting tools such as Microsoft Word, Excel, Access, and PowerPoint. Preferred Qualifications
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, or as agreed upon. The Department of Computing Science at Umeå University is an international environment for research and education covering a broad spectrum of computer science. The department is
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Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high