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of data analysis, time series analysis, machine learning and algorithm development. have knowledge on machine learning with Python or MATLAB. are very fluent in English, both spoken and written. possess
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between both teams. The PhD will be supervised by the PACCAR Chair promoter and co-promoters (https://giving.kuleuven.be/how-to-support/chairs/institutes-cross-group… ), with the final
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are comfortable working with Git and API tooling, such as Postman. You have experience in machine learning, NLP/LLMs, multimodal systems, computer vision, or scraping. Having experience in data science
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occupational asthma, dust lung, auto-immune diseases, cancer, etc). · Strengthens existing research lines and brings complementary and/or additionally new expertise by working closely with the members
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the requirements here: https://www.kuleuven.be/english/study/apply/language-requirements/engli… ). Applicants can be of any nationality. We encourage applicants who have African language skills and
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: https://www.kuleuven.be/english/study/apply/language-requirements/engli… ). Applicants can be of any nationality. We encourage applicants who have African language skills and relevant experience outside
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, given the patient population. We offer: - A stimulating and dynamic work and learning environment with excellent research facilities, where you can develop your expertise as a researcher and ultimately
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. Pieter Rauwoens, mail:pieter.rauwoens@kuleuven.be or prof. Sandra Soares-Frazao, mail:sandra.soares-frazao@uclouvain.be Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60598708?hl=en
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Kulak (https://kulak.kuleuven.be/ ), where you demonstrate active engagement in interdisciplinary collaboration, both internationally and with colleagues on campus, within the faculty, and/or within
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44. For more information please contact Prof. dr. Benedicte Vanwanseele, mail: or Mr. Stijn De Baere, tel.: +32 16 37 64 67, mail: stijn.debaere@kuleuven.be . Where to apply Website https