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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...
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(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
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many visitors. We also have strong ties, including weekly joint seminars, with neighboring theory groups in and near Brussels. At VUB, we are part of the Strategic Research Program “High-Energy Physics
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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
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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
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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
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Willingness to combine wet-lab experimental work and computational analysis Basic knowledge of statistics and/or programming (R, Python, or similar) Strong motivation to learn new techniques across
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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
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will aim to go significantly beyond the state-of-the-art; A world-class, dynamic and stimulating work environment with state-of-the-art instrumentation and computing facilities (see also http
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-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