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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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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
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engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results are an asset. A strong interest in scientific research in machine learning and AI
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What? The focus of strategic basic research is on innovative research which, if successful, will create prospects for economic or societal applications. The SBO programme breaks down into two
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to apply plant biotechnology for applications in the Global South Welcome but not required Experience in bio-informatics Interest in automated phenotyping Key personal characteristics You are enthusiastic
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hold or will have obtained by the time you start work, a Master’s degree in Computer Science, Electrical Engineering, Artificial Intelligence, Applied Mathematics, Energy Engineering, or a related field