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Our group The scientific programmer will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans
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Are you passionate about observational astronomy and love supporting students in their learning process? Do you enjoy combining hands-on technical work with educational impact? If you enjoy working
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activities. Assist students with technical issues related to the online learning platform and other technical aspects. Collaborate with colleagues from programme management, IT, admissions, and the registrar
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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presentation skills in English Proficient in Microsoft office 365, knowledge of Canvas or other similar learning platform desirable Ability to take initiative and programme ownership Ability to work
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will house 2 PhD scholars and 3 Postdoctoral Scholars and will run between 2024-2029. It carries international collaborations and publication programmes, and will maintain a documentational project on
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both software and hardware. The chance to work with innovative technologies such as AI/Machine Learning. A pleasant and informal working environment with plenty of room for initiative. Job Requirements A