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Field
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into three multidisciplinary themes or streams of critical R&D, each focused on delivering societal benefit: Digital and Technical Literacy in Society: as our world becomes increasingly digital, a substantial
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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essential. Excellent organisation and problem solving skills are expected and experience in data wrangling, processing and visualisation using R or Python would be advantageous but not essential
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production, agriculture broadly, and/or smart technologies is desirable. • Experience in modelling biological or agricultural systems, with strong programming skills (R, Python, or Matlab
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identified above may also submit their CV and expression of interest to identify the R&D activities they wish to carry out. Expected research outcomes for students may include: Impacting and reshaping future
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production by harnessing the potential of adaptive livestock management across diverse EU regions, within a participatory R&I approach. To achieve this objective, GroundWork will engage a wide range of
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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