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Instituto de Investigação e Inovação em Saúde da Universidade do Porto (i3S) | Portugal | 2 days ago
First Stage Researcher (R1) Positions Master Positions Country Portugal Application Deadline 12 Dec 2025 - 00:00 (Europe/Lisbon) Type of Contract Other Type of Contract Extra Information Research
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faculty including 11 PhDs and 1 MD among six translational and basic science laboratories. The equipment at the Emory University affiliated nuclear medicine departments includes state-of-the-art imaging and
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Equinor. The position is in the Digital Signal Processing and Image Analysis (DSB) research group, Section for Machine Learning, Department of Informatics. For more information about the position, see https
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, and formulation of clinical study design, image processing, machine learning, and statistical analyses to illuminate specific research questions. Among the machine learning techniques, deep learning
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an expert in combining neuroimaging with neuromodulation. The post holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data gathered before
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holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data gathered before, during, and after brain stimulation. You must have been awarded a PhD
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of Psychology, who is an expert in combining neuroimaging with neuromodulation. The post holder will lead work in setting imaging protocols, processing of neuroimaging (fMRI, dMRI, MRS) and cognitive data
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multidisciplinary environment.You may also: Hold a PhD in cognitive neuroscience or a related field. Have experience analysing brain imaging or electrophysiological data. Possess strong computational skills and
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of a project leader Person Specification First degree in physics, biomedical engineering, or a related discipline PhD (or near completion) in an area related to photoacoustic imaging with Fabry-Perot
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also: Hold a PhD in cognitive neuroscience or a related field. Have experience analysing brain imaging or electrophysiological data. Possess strong computational skills and proficiency in relevant