Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
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
-
, 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
-
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
-
.•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
-
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
-
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
-
, please contact solliciteren@kuleuven.be . Where to apply Website https://www.kuleuven.be/personeel/jobsite/jobs/60646306?hl=en Requirements Research FieldCriminologyEducation LevelMaster Degree
-
. 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
-
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
-
both independently and as part of an international, interdisciplinary team Assets•Experience with computer vision or deep learning (e.g. PyTorch, TensorFlow)•Familiarity with street view imagery or other