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Mellon University is looking for a talented postdoctoral associate to interrogate the circuit dynamics underlying motivated behavior. We are looking to explore the electrophysiological properties of neural
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» Computational mathematics Technology » Medical technology Researcher Profile Established Researcher (R3) Positions PhD Positions Application Deadline 16 Mar 2026 - 23:00 (Europe/Madrid) Country Spain Type of
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the laboratory is to understand the pathophysiology of movement disorders such as Parkinson’s disease. At Stanford, innovations in neural interface technology have allowed us to discover how abnormal electrical
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Information Eligibility criteria Applicants should hold a PhD in theoretical chemistry, physics, materials science, or a related field; -demonstrate strong expertise in machine learning (regression, neural
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novel machine learning models—including Physics-Informed Neural Networks (PINNs), variational autoencoders, and geometric deep learning—to fuse multimodal data from diverse experimental probes like Bragg
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techniques including deep neural networks and large language models (such as GPTs), with state-of-the-art functional genomics approaches, including crop genomics, genome editing, and single cell multiomics
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The postdoctoral researcher will join the "Network Dynamics & Computations" team led by Srdjan Ostojic and develop research projects on modeling neural circuits and their role in behavior. The work will focus
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of the project is to design, model and simulate neural networks based on magnetic skyrmion nucleation and propagation. The second objective is to fabricate these hardware neural networks, characterize
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sustainability issues. In particular, the “Probability/Optimization” group focuses on the theoretical understanding of algorithms used in machine learning, for training large neural networks and tuning
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in animal models contribute to behavior and disease. The Ideal Candidate will have: A PhD in neuroscience or related discipline Prior experience in studying neural circuits Expertise with at least some