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within a Research Infrastructure? No Offer Description Topics In the Computer Systems Lab, we aim to hire multiple PhD students on national and international research projects in the domain of software and
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characteristic of damaged gears or bearings. Furthermore, the increasing decentralization of wind farms necessitates robust and efficient on-site data processing capabilities. This PhD project will address
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, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE
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. • A CV (highlighting any academic achievements on TMSS-related themes) • Contact details of two references who may be contacted as part of the application process. • Academic transcripts. • One writing
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consortium with highly integrated research projects. • Expert training in basic and applied research, along with a thorough understanding of the process involved in transitioning from basic to pre-clinical
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advised to submit the application at least 3 months in advance. Exchange Application You need to create a Ghent University account and register via the Oasis website In this procedure you need to select
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autonomous driving. Your profile Master's degree in Computer Science, Artificial Intelligence, Robotics, or related field Strong background in machine learning, deep learning, or computer vision Experience
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is to develop RL controllers that can learn from data while guaranteeing stable and safe operation in complex, nonlinear systems such as chemical plants and energy processes. By validating the approach
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experience Overview of scientific code programming experience (incl. programming languages) English language proficiency Selection process For more information please contact Prof. dr. ir. Erik Toorman, mail
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methods to study dynamic cellular processes (live calcium imaging, pathological protein assembly, imaging of signal cascades) at spatial levels ranging from a single molecule to (entire organs of) model