59 developer-"https:" "https:" "https:" "Grenoble INP Institute of Engineering" PhD positions at KU LEUVEN
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social security law in its relation to national competition law and EU internal market rules. The candidate is supposed to prepare a decent research proposal as well as to prepare a doctoral thesis on the
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the domain of Professional Training & Development & Lifelong Learning at O2L, we are looking for a PhD candidate with an interest in adult education and lifelong learning. Specifically, you will contribute
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* for combinatorial solving; some details can be found below. The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description and automatically compute
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Infrastructure? No Offer Description The PhD candidate will work on the development of advanced statistical and machine learning methods for time series prediction, with applications mainly in the field of traffic
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@kuleuven.be or Prof. dr. Frank Verbruggen, mail: frank.verbruggen@kuleuven.be.In case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https
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the interaction between new technological developments and the law. You can creatively analyse legal problems in this domain and propose clear and valuable solutions. You share your knowledge with others through
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application, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60637164?hl=en Requirements Research FieldJuridical sciencesEducation LevelMaster
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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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maximum term of the appointment (4 years). You develop, in consultation with the promoters, your own research project on a theme of Roman law or legal history that is within the expertise of one
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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