238 associate-professor-computer-science "https:" "https:" "https:" "https:" uni jobs in Belgium
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- Ghent University
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engineering, and have expertise in building camera systems and computer vision. This role also involves working closely with the other members of the team on projects related to plant phenotyping (assessing e.g
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that the host defensin protein lactoferrin prevents growth and virulence of pathogenic E. coli. Using recombinant protein engineering, gut organoids, and animal models, you will perform research to increase
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applications from candidates (m/f/x) with: Educational background A Master’s degree in artificial intelligence, computer science, data science, statistics, engineering, applied mathematics, economics, sociology
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; further training and skill development will take place during the PhD: Experience in computational data analysis and quantitative modelling (e.g. in R). Experience in one or more of the following laboratory
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engineering, industrial engineering, mathematics, engineering, computer science, artificial intelligence). Strong study results are an asset. A strong interest in scientific research in machine learning and AI
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-associated research lab Centre for Microsystems Technology (CMST) (Department of Electronics and Information Systems) and (b) Electrochemistry and Surface Analysis (ESA) (Department of Chemistry) at Ghent
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of the UNPACK team, you will be intensively working together in a team of 8 researchers and 4 professors. You will share your data and analyses with your co-researchers and supervisors, and engage in
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) at Ghent University is seeking a highly motivated PhD candidate to join our research program on the plasma-assisted development of advanced tissue engineering scaffolds. The project explores how cold plasmas
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database for construction products in service. The technology will enable accurate computation of the CO2 uptake of cement-based materials. It will support material modifications to boost CO2 uptake and
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working on nonlinear and multiphoton optical spectroscopy and microscopy for molecular and materials characterization. The project is part of the broader MIP research programme across KU Leuven (Leuven and