Sort by
Refine Your Search
-
of the exercise sessions for: Business Informatics Business Information Systems You will contribute to the daily functioning of the department. For this function, our Brussels Humanities, Sciences & Engineering
-
, Computer Science, or a related engineering discipline, or you will have obtained it by the time of appointment. You can provide evidence of excellent study results. Your teaching competences are in line with
-
programming languages (Python or C++), machine learning/deep learning, computational chemistry and polymer chemistry is an advantage. You have a good knowledge of English, both oral and written. Your research
-
The Vrije Universiteit Brussel (VUB) and Universitair Ziekenhuis Brussel (UZB) are seeking a highly motivated PhD candidate to join the interdisciplinary FWO-SBO funded project ANTICIPATE (Artificial Intelligence and Epidemic Modeling to Prepare Hospitals for the Next Respiratory Pathogen with...
-
(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
-
treatments and continuously invest in research to improve medical care. Education is a core part of our mission: since launching our doctoral training program in 1972, UZA has helped train generations
-
organisation of the research group(s) and department(s) involved, participate in promotional activities for the study programme(s), and assist in the daily management of the department by joining councils and/or
-
of the scholarship. You will organise your own PhD research and report on your progress regularly. You will participate in the doctoral study programme at the Antwerp Doctoral School to support your
-
recipients, the doctoral program starts by definition with a scholarship agreement of 1 year. If, before the end of the first year, the doctoral advisory committee or, in the absence thereof, the promoter(s
-
-derived organoids, cytotoxicity assays, flow cytometry, molecular work and laboratory animal experiments. Good and demonstrable experience in the analysis of biological datasets with informatics techniques