287 programming-"https:"-"Inserm"-"FEMTO-ST"-"https:"-"https:"-"https:"-"https:" positions in Denmark
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be able to teach and supervise at the political science program and/or other degrees at the department. Experience in applying for external funding and a strong international network are considered
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Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Quantitative Genetics and Genomics programme. The position is
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general planning of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment with be made by Professor Stefan Kragh Nielsen and an internal evaluation committee. We
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including GNNs, generative models, or foundation models). Scientific software development, high-performance computing and data infrastructure. Are comfortable programming in Python and working with modern
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various full-time bachelor and master programs as well as part-time professional master programs. For a detailed description of the department's profile and activities and more information about its
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of the PhD study programme, please see DTU's rules for the PhD education . Assessment The assessment of the applicants will be made by Dr. Stefano Donati. Key selection criteria: Professional qualifications
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, to plan and carry out complicated tasks, including laboratory work Motivation to work in interdisciplinary and sustainability-focused research on waste valorization You must have a two-year master's
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and teaching collaboration, such as membership of different boards, councils and committees, course lead or head of study programme. The teaching and administrative obligation for academic staff is
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functions at the Centre with assistance in areas such as statistics, programming, analytics, and machine learning. Education: developing a training program focused on data science literacy, guiding
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cheminformatics, differential privacy and cryptography. Artificial Intelligence, Cybersecurity and Programming Languages , focusing on choreographic programming, distributed computing (cloud, edge, IoT