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models and Bayesian approaches to tackle complex, real-world data? Join this PhD project to build dynamic models and study cognitive variability using ecological momentary assessment (EMA). Join us We are
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16 Apr 2026 Job Information Organisation/Company University Medical Center Utrecht (UMC Utrecht) Research Field Neurosciences » Neurobiology Neurosciences » Neurophysiology Researcher Profile First Stage Researcher (R1) Application Deadline 29 Apr 2026 - 21:59 (UTC) Country Netherlands Type of...
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that could redefine how we treat osteoarthritis? We are looking for a motivated PhD candidate for a cutting-edge project at Radboudumc that aims to unravel and therapeutically target dysregulated energy
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. DOCTORAL CANDIDATE DC6: PROJECT TITLE. Synthesis and optimization of mRNA and Glyco-Lipid NanoParticles for targeted mRNA delivery. PROJECT. The PhD project will focus on: 1) Design, enzymatic synthesis, and
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Website https://www.academictransfer.com/en/jobs/358007/phd-position-targeting-antifoul… Requirements Specific Requirements PhD students are expected to develop scientific independence and complete research
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on methodologically challenging and clinically relevant questions using a richness of data. Responsibilities include the statistical design and analysis of randomized clinical trials, target trial emulation using
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stimulation (TUS), a novel noninvasive method for targeting deep brain structures University of Maryland, Maryland, United States Bas Ankoné (Rijksuniversiteit Groningen) A new political climate? Innovating
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., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference to certify performance and
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optimization-based updates (e.g., stochastic gradient methods and Bayesian learning), Probabilistic performance guarantees, leveraging tools from stochastic systems, RKHS-based learning, and Bayesian inference
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techniques including graph neural networks, Bayesian neural networks, conformal prediction intervals and generative AI for synthetic data generation. You will also develop frameworks for uncertainty