Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
goal is to successfully defend your PhD thesis at the end of the 4 year period. Job profile TECHNICAL COMPETENCES AND EXPERIENCE You have or will soon obtain a degree of Master of Science in Operations
-
(soil properties and processes) using appropriate data analysis techniques • develop practical but validated indicators of soil health that can be used directly by farmers and other land managers The PhD
-
Job description ABOUT GHENT UNIVERSITY Ghent University is a world of its own. Employing more than 15.000 people, it is actively involved in education and research, management and administration, as well as technical and social service provision on a daily basis. It is one of the largest, most...
-
collaboration with other PhD candidates and researchers with medical and engineering background, perform innovative research on the topic of surgical video analysis, with the goal of developing deep machine
-
) and QSP (KU Leuven). The hired PhD student will be in charge of producing clusters in the gas phase, depositing them on the titania nanotubes and SiO2 , and studying their ex situ structural and
-
://geoai.ugent.be/ ) and UGent Crime Lab (https://research.ugent.be/web/result/organisation/b566d29e-1b9f-11f0-937e-e33ba6a1388c/details/en ) of Ghent University, Belgium are looking for a full-time PhD student in
-
to a total maximum of 48 months. A high-impact, supportive research environment with a dynamic community of PhD students The opportunity to join the 4BRAIN research group, an internationally recognized
-
both wet lab and database-driven environments, with a primary focus on data The goal of this work is to obtain a PhD Job profile You hold a Master’s degree (preferably) in medicine, biomedical sciences
-
) is seeking a highly motivated PhD candidate to work on multitemporal terrestrial laser scanning for better understanding forest structural dynamics. YOUR JOB Forest ecosystems play a crucial role in
-
Job description We are looking for two highly creative and motivated PhD students to perform research in the context of the Advanced ERC Grant ACME ("Assumption-lean (Causal) Modeling and Estimation