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proven and successful publication track record in this field. - High intrinsic motivation and a strong scientific curiosity. - Ability to be inventive and to present novel ideas in method development, data
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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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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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conferences and networking. Funding is secured for 4 years. KU Leuven offers a stimulating environment for international students and support for young scientists in their career development. For more
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Science, Software Engineering, Cybersecurity or a related field, have a strong background in software engineering or security, solid programming skills, and experience with modern development workflows. Experience
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meetings, and collaborate with academic or industrial partners where applicable. Disseminate research findings through academic publications and conference presentations. Contribute to the development
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application tool, please send an e-mail to solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60627356?hl=en Requirements Research FieldJuridical sciencesEducation
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please contact Prof. dr. Elise Muir, mail: elise.muir@kuleuven.be or Mrs. Bieke Schroeven, mail: bieke.schroeven@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs
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case of problems with the online application, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60625920?hl=en Requirements Research