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of Knowledge." Fellows are required to participate in a weekly research seminar and teach one undergraduate course. Candidates are selected on the basis of their scholarly potential and the relevance
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-traditional, e.g., event data) and network structures (for sensor networks). In this project, we will investigate Bayesian deep learning approaches to training models under uncertainty for several sensing
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Employment 0.8 - 1.0 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Arts Application deadline 26 August 2025 Apply now Are you interested in social
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licence. Is Your profile described below? Are you our future colleague? Apply now! Education · You hold a PhD in Physics, Biology, Environmental Science, or a related discipline Experience and
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many connections to the brain and spinal cord (MD or PhD or both degrees or equivalents). The successful candidate will have a PhD, MD or both degrees or equivalents) and it would be highly desirable
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chemistry, peptide chemistry, organic chemistry, and chemical biology train and supervise undergraduate and PhD research students enhance a positive workplace culture and the strategic direction
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learning, at the intersection of reinforcement learning, deep learning and computer vision, in order to train effective robotic agents in simulation. You should hold a relevant PhD/DPhil (or near completion
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, clinicians, and researchers with research-backed assessments to advance learning, accelerate reading research, promote understanding of learning differences, and foster equitable access to high-quality, data
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consoles Learn the CNS Lab developmental neuroimaging standard operating procedures well enough to train new members Attend MRI sessions and assist PI and other staff with the collection of MRI data Should
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ophthalmological, neuroimaging and behavioral data, and incorporate deep learning methods to facilitate biomarker discovery and enhance predictive power. As a postdoctoral associate you will join a multidisciplinary