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articles, resulting in a PhD dissertation; Present findings at (inter)national meetings/conferences; Contribute to the wider work of the Data2Action project Contribute to educational activities
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Job description PhD position in computational neuroscience - Deep reinforcement learning closed-loop control for the treatment of epilepsy As part of the highly prestigious ERC Starting Grant
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the following BOF-funded interdisciplinary research project: “Computer Vision Metrics for Objective Evaluation of Surgeon Performance in Robotic Pancreatic Surgery”. The candidate will work as a Research
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-catalysed coupling reactions for preparing interesting basic molecules for the pharmaceutical industry. The methodology's tolerance to functional groups will allow ‘late stage’ functionalisation to be
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constraints that academic staff and students face within the European and/or Palestinian context. Within this project, you will work on a PhD for 90% of your time. The remaining 10% you will support the
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neuromodulation technique capable of targeting deep brain structures in a non- or minimally invasive manner. You will play a central role in the preclinical research activities of the project. YOUR JOB Perform
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work environment within a young dynamic team and the possibility of obtaining a PhD. What we can offer you We offer a full-time position as a doctoral fellow, consisting of an initial period of 12 months
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and regulatory science You have a structured approach and are eager to work in a GMP environment You have excellent communication skills and enjoy working in a multidisciplinary, translational team You
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of their many functions, they allow virus-infected cells to warn neighboring cells about the imminent viral threat. Indeed, upon virus infection, infected cells generate antiviral messenger molecules like cGAMP
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with causal inference or debiased machine learning is a plus. - You are creative and have strong analytical skills. - You are a team player, motivated to work in a team of statisticians, and have strong