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Field
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to analyze multimodality neuroimaging data (including PET, but mainly MRI), with a goal of detecting and quantifying early neural injury due to neurodegeneration. The research team includes Cognitive
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developed goal-sequence generalization task. The project will integrate high-density silicon probe recordings, optogenetics, pharmacology and advanced computational tools to analyse neural algorithms
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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currently exploring a range of exciting topics at the intersection between computational neuroscience and probabilistic machine learning, in particular, to derive mechanistic insights from neural data. We
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requirements A PhD in a relevant subject such as mathematics, computer science, physics, engineering, or a related discipline. Candidates who have not yet defended their PhD are eligible to apply, provided
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multimodality neuroimaging data (including PET, but mainly MRI), with a goal of detecting and quantifying early neural injury due to neurodegeneration. The research team includes Cognitive Neuroscientist
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Description 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
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Starting Date 2 Jun 2025 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer
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of the auditory pathway using multi-electrode arrays. Requirements We are looking for individuals who want to study neural coding in the context of hearing and who meet the following criteria: 1) PhD in
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methods (e.g., PCA, PLS-DA, clustering, neural networks) to enable automated, polymer-specific classification. Optimize workflows for high-throughput imaging and real-world sample variability, minimizing