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Intelligence (AI). Despite recent advances in data-based AI (e.g., deep learning and LLMs), knowledge-based methods are still state-of-the-art when it comes to building reliable and explainable decision support
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. Experience in or willingness to learn analytical chemical analyses and data processing. Excellent command of English language (written & oral) and experience with scientific writing. Driver’s license valid in
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programming. You are highly motivated to conduct (applied) research at the intersection of (deep) machine learning and the health sciences. You have good programming skills in languages such as Pythorch, and
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opportunity to investigate a broad range of research areas and design an individual research portfolio with high impact. As such, successful candidates will be able to align the skills that they learn pursuing
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importantly, we seek individuals who are curiosity-driven especially interested in interdisciplinary research, eager to continuously learn with critical thinking and explore new ideas while collaborating with a
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faculty at Ghent University. You will have to upload some documents Proof of enrolment as a PhD student at your home University A signed Learning Agreement. Please chose the correct template for doctoral
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, on flights, in petrol stations, amusement parks...) and Ecocheques; Nursery near campus, discount on holiday camps; The space to form your job content and to continuously learn through our VUB learning
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are looking for a m/f/x Doctoral fellow YOUR JOB You conduct doctoral research in the area of Augmenting Learning Environments Using Generative AI and Neuroadaptive Systems, with the aim to obtain a PhD after
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the time you start work. You can demonstrate excellent study results. You have a strong background, experience and/or interest to acquire those in microbiology, infectious diseases, molecular biology
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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