Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
synthetic methodology is recommended. • You have good computer and data management skills. • You are fluent in English. • Team-oriented: You enjoy working with others and actively contribute to a safe, open
-
-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV, containing one or more references, a copy of your diploma (if already in
-
your knowledge and skills on state-of-the-art in machine learning, (probabilistic) modelling, system identification and numerical optimization. How to apply Send your CV containing one or more references
-
techniques) at UGent combined with machine learning, deep learning and data fusion modelling to enable development of novel decision support systems for variable rate fertilization and manure application. He
-
excellent predisposition to learn how to work with these data is a basic requirement). What we can offer you: The PhD appointment is full-time for 4 years (contingent on a positive evaluation after the first
-
at national and international conferences. You may be asked to teach exercise sessions (in English) for a course taught by the department staff, or to help in the supervision of master’s theses. Your ultimate
-
electric machine manufacturing or repair. The initial contract duration will be one year, in which you are hired as a PhD researcher. The contract can be extended to 4 years in total, under the condition
-
) and T cells therapies (CAR-T) for cancer patients. These pharmaceutical products are cell and gene therapy products or advanced therapy medicinal products (ATMP). We recently finalized a phase I
-
modeling into modern causal inference by combining its strengths with innovations in debiased machine learning, as well as to improve both the statistical efficiency and robustness of debiased machine
-
biodiversity responses to future climate and canopy change. YOUR JOB Here we advertise for one PhD position which will be part of the broader CanopyChange project and team. This particular PhD position will