90 machine-learning "https:" "https:" "https:" "https:" "UCL" "UCL" "UCL" "UCL" positions at KU LEUVEN
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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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.•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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Schuermans: marleen.schuermans@kuleuven.be (+32 16 33 02 13). Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60649174?hl=en Requirements Research FieldBiological sciencesEducation
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the online application, please contact solliciteren@kuleuven.be. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646334?hl=en Requirements Research FieldCriminologyEducation LevelMaster
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, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646306?hl=en Requirements Research FieldCriminologyEducation LevelMaster Degree
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, Mechanical), Computer Science, Applied Math/Statistics, Physics—or related. Candidates who will graduate in the near future are also welcome to apply. Strong foundation in machine learning/deep learning and
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with the online application, please contact solliciteren@kuleuven.be. Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646298?hl=en Requirements Research FieldCriminologyEducation
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should be exclusively submitted through the consortium webpage https://raptor-consortium.com/recruitment/ RAPTORplus aims at adapting proton therapy treatment with multi-modality image information acquired
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such as surgery, patient or staff scheduling using, e.g., multi-objective optimization or machine learning approaches and analyzing efficiency-fairness trade offs. The research will be conducted under
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. These methods will integrate machine learning techniques and real-time sensor data, to enhance operational efficiency, reduce costs, and ensure desired service levels, such as meeting a high percentage of demand