41 assistant-professor-computer-science-and-data-"U" PhD positions at Ghent University
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of Bioscience Engineering we are looking for a m/f/x Doctoral fellow within the Horizon Europe project "Risks from climate change and biodiversity loss across systems and scales: Leveraging the potential of tree
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international interdisciplinary research team focused on computer vision and surgical video analysis, we are looking for a motivated research assistant. This is a full-time, one-year position that is renewable
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Research, Computer Science, Business Engineering, Informatics, Mathematics, Physics, or equivalent. The degree requirements need to be fulfilled at the start of your appointment. For degrees awarded outside
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of Bioscience Engineering, we are looking for a m/f/x Doctoral fellow within the ERC Consolidator Grant project "Novel light regimes and drought effects on temperate forest plant biodiversity (CanopyChange
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the project fits the scope of Baekeland mandates. Every year in January there is an information session at which the VLAIO programme coordinator explains the modalities of the call. The exact date and link for
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of the doctoral candidate will be supervised by professors Brent Bleys and Bart Defloor, and part of the non-research tasks consists of assisting in the organisation of the European Society for Ecological Economics
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master thesis students. The project will be closely supervised by the PhD promotor and a postdoctoral researcher. Additionally, master's students will assist with data collection. Data will be gathered in
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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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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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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