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well as identifying effective treatment strategies, is therefore of critical importance. The first and largest part of this project will use laboratory-based fear conditioning paradigms to investigate learning
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to communicate the accomplished / in-process work to internal and external stakeholders and adapt directions where needed. Where to apply Website https://www.imec-int.com/en/work-at-imec/job-opportunities/machine
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for admission to the PhD programme of our faculty. In particular a GRE or GMAT result above the 75th percentile on the quantitative part and an English TOEFL (minimum score 575 paper-based, 233 computer-based, 90
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avoidance strategies can get in the way of learning that feared situations are actually safe. Mindfulness may help by teaching people to notice their experiences with openness and without immediately reacting
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and dynamic work and learning environment, with excellent research facilities, in which you acquire expertise as a researcher with the aim to obtain a PhD. During the process, you will work together
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be employed as a PhD researcher within the ‘Youth Justice’ research line at the Leuven Institute of Criminology (LINC). You will work in close collaboration with us on your own PhD research, which will
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contribution of the PhD will be the derivation of multilayered approaches for motion planning and control based on the XS-Graphs, where both model-based and learning-based solutions are foreseen. This includes
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.•Remuneration according to the KU Leuven salary scale, including travel reimbursement: https://www.kuleuven.be/personeel/jobsite/en/phd/phd-information#workin… ;•The PhD would begin as soon as possible, with
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PhD position in Economics as part of the renewed RESA Chair, dedicated to studying the future of natural gas networks in the context of the European energy transition. JOB DESCRIPTION The PhD candidate
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back boundaries and set a course for the future – a future that you can help to shape. A-PECS at the Department of Bioscience Engineering in the Faculty of Science is looking for a full-time (100%) PhD