121 cloud-computing-"https:"-"https:"-"https:"-"https:"-"UCL"-"UCL" positions in Belgium
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double) PhD program between Ghent University and their home university. Students selected under this preference program will be exempted from paying tuition, bench fees, or any other study-related costs
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European cities. The project explicitly embraces a broad AI perspective, including (but not limited to): machine learning and statistical learning computer vision and sensor-based data analysis natural
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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) 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 of teaching and
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will have the opportunity to visit hospital, industry and other academic institutions within the consortium. After completing the program, you will have a thorough understanding of the process from
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data center, compute, storage, networking, and core services Ensure high availability, performance, security, and compliance of infrastructure platforms Manage capacity planning, lifecycle management
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of impacts of climate extremes in Europe, from public health to societal perspectives and agricultural impacts, and will have access to a rich program of training activities and research exchanges
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administration) Duration BOF doctoral scholarship with label In accordance with the regulations for PhD scholarship recipients, the doctoral program starts by definition with a scholarship agreement of 1 year. If
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excellent study results. You are proficient in at least one programming language (e.g., python, c++, ...) Strong communication skills in English are essential. Knowledge of inverse problems, computational
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working on nonlinear and multiphoton optical spectroscopy and microscopy for molecular and materials characterization. The project is part of the broader MIP research programme across KU Leuven (Leuven and