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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
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still uncertain how forest structure is impacted by disturbances (locally) and how we can detect and monitor various levels of disturbance regimes using spaceborne satellite data (globally). This PhD
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entrepreneurs to identify areas of need and opportunities to scale up and grow. Recommendations will include example data stories for business planning. To achieve this, the fellow will: Further develop and test
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for focal epilepsy with ultrasound neurorecording, modulation, and deep reinforcement learning (DRL) closed-loop control. The technology will be developed through detailed computer simulations and preclinical
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the field of Geospatial AI (GeoAI) and Geography of Crime. The joint research team hosts more than 30 researchers, focusing on GeoAI, spatio-temporal data analysis, location based services (LBS), urban