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Field
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quantitative data analyses, using complex state-of-the-art analytic techniques (in R and/or Mplus). Dissemination of research findings in the form of peer-reviewed scientific articles, conference presentations
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bioinformatic analyses. Preferably you have experience using R and/or Python, and/or you have programming skills in bash or another scripting language. What we can offer you We offer a full-time position as a
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the VUB R&MM research group. You have a Master's degree in a relevant field, such as mechanical engineering, control and automation, robotics, electromechanical or mechatronics engineering. Ideally
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field (Bio-Engineering, Remote Sensing, Surveying, Physics, Geosciences, Environmental Sciences, Computer Science). Fluent in programming languages such as R, C++ or Python Prior experience with, or a
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we focus on 1) foundations, 2) system design, and 3) applications. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D
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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
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, computer science or quantitative criminology; The diploma requirements must be met by the time of appointment. • Intermediate programming skills (e.g., Python or R), as well as a willingness to develop these further
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of contaminants is an asset; You have skills in statistical data analysis, and are keen on developing these skills further. Basic knowledge of R is an asset; You have experience in working with oligotrophic
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, but not a requirement Knowledge of programming languages such as R, Matlab or Python. Experience with the linux/unix environment and handling large datasets is a plus. A good command of English, both
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. IDLab collaborates with many universities and research centres worldwide and jointly develops advanced technologies with industry (R&D centers from international companies, Flanders’ top innovating large