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addresses sustainability transitions, environmental governance, citizen science, ecological justice, social learning, climate adaptation and relationships between science, policy and society. We value
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addresses themes such as sustainability transitions, environmental governance, citizen science, ecological justice, social learning, climate adaptation and relationships between science, policy and society
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validate innovative methods for mapping soil compaction at the field scale by combining remote sensing, proximal sensing, and field measurements. You will develop and optimize machine-learning models
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R, Excel, SPSS or you are interested to learn scientific programming. You have good communicative skills, and you have an open mindset to engage in collaborative and interdisciplinary research. You
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, engineered powders, including Cermetal and WC-Co-based materials, will be investigated as energy-absorbing media within the damping system. The development combines computational modeling, machine learning
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methods from the digital humanities or is willing to acquire such expertise; The candidate demonstrates excellent research qualities, including intellectual curiosity, critical thinking, accuracy
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fluidics, statistical analysis and machine learning tools will be employed extensively. A specific focus will be in advancing biotechnological breakthroughs toward CCUS-conforming biomaterials, which can be
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willing to acquire this. You have a good knowledge of cell biology, molecular oncology, signal transduction, and immunology. You have experience with or an interest in 3D-cell culture models, patient
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provide support with teaching and also teach high-quality academic classes yourself. You will teach and assist in, for example, the courses “Laboratory Animal Science” and “General surgery.” You will
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try to acquire additional external funding, such as e.g. through the Research Foundation Flanders (www.fwo.be). What we offer We offer a doctoral scholarship for a period of two years. Following a