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project, innovative methods will be developed to accurately map soil compaction at the field scale by integrating remote sensing and proximal sensing. This information is essential for selecting and
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empirical analysis and quantitative methods in international economics and, on that basis, to be able to teach and supervise students in working with data and empirical applications in accordance with
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Modelling. You will join the research group in statistics, BIOSTAT ( www.biostat.ugent.be ), which develops statistical methods to address challenges related to our planet and environment, such as
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responsibility for laboratory organisation, quality control and standardisation of methods. You will collaborate closely with clinicians of the Department of Plastic and Reconstructive Surgery (Ghent
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. The BioML research group of the Department of Data Analysis and Mathematical Modelling focusses on the development of machine learning methods for the life sciences. Specific research areas of
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with one or more of the department’s existing research groups. Your research is characterized by a high degree of methodological innovation. A broad applicability of the innovative tools and methods
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and recycling routes of offshore wind components. You are familiar with circular economy and material criticality assessment methods. You have experience with LCA software such as SimaPro, GaBi or
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complementary, not opposed. You are familiar with, or willing to engage with, interpretative and qualitative research methods such as interviews, ethnographic observation, facilitated dialogue, and
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workplaces. To this end, multiple quantitative and qualitative research methods can be applied (e.g., experiment, questionnaire, interview, literature review). YOUR TASKS This position is primarily
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Connectivity for Demanding Markets. Within the faculty of Engineering and Architecture, the IDLab research group (https://idlab.ugent.be/home) performs research on internet technologies and data