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computer vision; AI models of disease and digital twin applications. Biological applications are broad: microorganisms, plants biotechnology, neuroscience, cancer, immunology. We also welcome applicants with
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are looking for a highly motivated and skilled PhD researcher to work on graph-based machine learning surrogates of wind energy systems. Our goal is to accelerate flexible fatigue load estimation
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chambers, (2) field sampling and lab analyses to quantify rates of carbon sequestration into soils and vegetation, and (3) geospatial upscaling of results to estimate the carbon and greenhouse gas balance
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. The purpose of the memo is to gauge your research (design) skills, to illustrate your critical reflection and to demonstrate your writing skills. In the memo, you tackle the following questions: State
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to the topic of the doctoral project (in particular from p. 10 onwards). The purpose of the memo is to gauge your research skills and own input/voice as a researcher. In the memo, you answer the following
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of your department or vlaams-federaal@ugent.be for an estimation (based on seniority). Round the numbers to the next 500 or 1000. If that is not the case, please use the numbers below. Appointment
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research project ‘Do voters use socio-demographic cues to estimate politicians' ideological positions? (IdeoPos)’ This project will be conducted under supervision of Prof. Dr. Bram Wauters and Dr. Robin
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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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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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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