84 parallel-computing-numerical-methods-"Simons-Foundation" positions at Ghent University
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Deadline 9 Sep 2025 - 21:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job
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(also named spheroids) (Peirsman&Blondeel et al. Nature Methods 2021), patient-derived tumor fragments (Vermeulen et al. Sci Rep 2024) and patient-derived orthotopic xenograft mouse models (Fischer et al
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Job description We are seeking a highly motivated and talented PhD researcher in the field of mechanics of materials. You will work in the areas of computational mechanics, multi-physics modelling
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Laboratory of Integrative Metabolomics, an established research group with extensive experience in both experimental and computational metabolomics. The current focus of the computational branch of our
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analysis methods, particularly life cycle assessment and/or ecosystem services assessment, and have a critical and analytical mindset. You are comfortable working with complex datasets, scenario modelling
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technologies or scientific developments (such as artificial intelligence, synthetic biology, climate engineering, …). The project is grounded in an interpretive social science research design, in which methods
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Biotechnology (https://cmb.sites.vib.be ). Through this multidisciplinary team, the candidate will have access to state-of-the-art technologies (massive parallel sequencing, mass spectrometry-based proteomics
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interactions and numerous learning opportunities. WHAT WE CAN OFFER YOU We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months, which - after a positive evaluation, will
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centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous high-tech start-ups). In order to support the research, IDLab created a unique research
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technologies with industry (R&D centers from international companies, Flanders’ top innovating large companies and SMEs, as well as numerous high-tech start-ups). In order to support the research, IDLab created