310 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"UCL"-"Bangor-University"-"https:" positions in Denmark
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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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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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cheminformatics, differential privacy and cryptography. Artificial Intelligence, Cybersecurity and Programming Languages , focusing on choreographic programming, distributed computing (cloud, edge, IoT
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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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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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, Software Engineering or Control Theory and a demonstrated ability to work independently as well as in a team. Mastering of adequate modelling tools and programming languages e.g. UPPAAL, MATLAB, MODELICA, C
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enrolled as a PhD student at *the Doctoral School of Engineering and Science in accordance with the regulations of Ministerial Order No. 1124 of September 19, 2025 on the PhD Programme at the Universities
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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 their families, including Relocation Service and an Expat Partner Programme Living and working in Denmark Subsidised childcare and free education from primary school through university. Universal
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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