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data collection and analysis, including neuroimaging or behavioral data•Languages: Dutch is strongly preferred, as the project involves extensive interaction with Dutch-speaking participants; English
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will apply a broad spectrum of state-of-the-art techniques, including: microbial isolation and culturing, plant infection assays, microbiome sequencing and analysis, whole genome sequencing, comparative
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grounded insights into the aesthetic, lived, and institutional realities of contemporary world literature and its agents. Combining textual analysis with sociological and ethnographic methods, EMLIT aims
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research. You have a good knowledge of and/or a strong interest in biomechanics and human motion analysis. Knowledge of or a strong interest in collecting experimental data (e.g., structural vibrations and
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of digital media, AI, political communication and democracy; • Has a strong foundation in quantitative research methods and data analysis (e.g. SPSS, R, Python); • Is willing to further develop digital
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have a good knowledge of and/or strong interest in social and sport psychology. Preferably, you have also knowledge and interest in biomechanics and human movement analysis. You have a multidisciplinary
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proficiency in French and German; knowledge of Dutch is an asset; basic knowledge of Middle Egyptian; experience with Greco-Roman temple inscriptions is an asset; experience with the analysis of organic remains
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solver can not find any solution (unsatisfiability), these explanations are often not tailored to the needs of end-users. This project focuses on the analysis and co-creation of explanation types and
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, or other quantitative data analysis, and some experience with statistical software packages; you are keen to develop these skills further. You possess strong and documented scientific writing skills. You
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closely with a network of support centres across Belgium. You will be responsible for data collection, the analysis of longitudinal and qualitative data, and the scientific reporting of research findings