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A postdoctoral position is available for a highly motivated individual interested in the neural circuit mechanisms of schizophrenia. Our laboratory conducts behavioral and 2-photon laser-scanning
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our team at DTU Compute, offering a fully funded position within a dynamic and interdisciplinary research environment. The positions are part of the research project “AI-driven materials optimization
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FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria * PhD in Neuroscience, Biomedical Engineering, Computer Science, or related field. * Strong
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Postdoctoral Research Associate - Human Organoid/Assembloid Models of Schizophrenia-associated Risks
A postdoctoral position is available for a highly motivated individual interested in the neural circuit mechanisms of schizophrenia. Our laboratory conducts 2-photon laser-scanning microscopy
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science or computational linguistics focused on natural language processing. Two to five years of experience is required. Experience in the civil service would be appreciated. Solid experience with neural language models
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Neural Development at The George Washington University School of Medicine is uncovering the secret life of the fetal and infant brain. We use advanced electrophysiological methods in animal models of human
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through experimental and analytical work. This position is responsible for conducting neurophysiology experiments, performing large-scale analysis of neural datasets, and contributing to scientific
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(ongoing PhD project). These pre-screened datasets will then be analyzed by various machine learning techniques (dimensionality reduction, unsupervised clustering, artificial neural networks, auto-encoders
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given to those able to relate to one or more of the above topics. Applicants must have a PhD in Mathematics, Statistics or Computer Science obtained within the last 5 years. Applications are open
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internal reports and manuscripts. Requirements: PhD in Physics, Materials Science, Computational Science/Engineering, Computer Science, or related. Solid knowledge of machine learning, including graph neural