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processing experimental data in a scientifically sound manner. You are willing to dedicate yourself to this research project for a period of four years. WHAT WE CAN OFFER YOU We offer a full-time position as a
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internationally. Job profile You hold a Master’s degree in computer science, electrical engineering, (technical) cognitive science, Human-Computer Interaction or areas relevant to the research topic (for example
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: sufficiency measures and sustainable consumption corridors, post-growth policies, Beyond GDP indicators and welfare analysis, (ecological) public finance and policy evaluation. The aim is to apply for a PhD
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that meets the conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales All Ghent University
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conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. Click here for more information about our salary scales All Ghent University staff members enjoy a
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income tax. Click here for more information about our salary scales All Ghent University staff members enjoy a number of benefits, such as a wide range of training and education opportunities, 36 days
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data that should allow to critically evaluate existing soil food web models, and propose new concepts for such models, and eventually allow to come to more sustainable soil management. This is a timely
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conditions and criteria of the regulations for doctoral fellowships is considered free of personal income tax. For more information about our salary scales, see https://www.ugent.be/en/work/talent/welcoming
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closed-loop control. The technology, developed through detailed computer simulations, will be validated with preclinical experiments. The candidate will be part of a multidisciplinary team working towards
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responsible for following tasks: • develop a list of soil health assessment indicators, with emphasis on biological indicators • design a detailed sampling & data collection protocol to be used across all