60 web-development "https:" "https:" "https:" "Fraunhofer Gesellschaft" PhD positions at KU LEUVEN
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information please contact Prof. dr. Bert Keirsbilck, mail: bert.keirsbilck@kuleuven.be.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60623557?hl=en Requirements Research
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gives rise to well‑known effects such as the Doppler shift, it is rarely modelled explicitly. With this research project, we aim to develop novel models and processing approaches for audio signals
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Reference Number BAP-2026-5 Is the Job related to staff position within a Research Infrastructure? No Offer Description This PhD project centers on the development of a computational platform model for a
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egg-mediated plant resistance and the underlying mechanisms will offer new insights into natural plant defenses and support the development of sustainable pest management strategies. The requirements
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research, with a limited teaching load. A dynamic, multidisciplinary research environment, involving collaboration across several research laboratories. Opportunities for professional development, including
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@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60624656?hl=en Requirements Research FieldJuridical sciencesEducation LevelMaster Degree or equivalent
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amotivation. A key responsibility, together with a second PhD student, will be to recruit patients with early psychosis and develop new tasks assessing approach-avoidance using Virtual Reality and experimental
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. Russell Friedman (russell.friedman@kuleuven.be ) Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60632449?hl=en Requirements Research FieldPhilosophyEducation LevelMaster Degree
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, demand and supply values at these nodes are subject to uncertainty, which complicates logistics planning and decision-making. To tackle this challenge, we aim to develop efficient data-driven methods