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-doctoral Associate will develop algorithms and theory for machine learning methods, as well as implement and apply ML methods to problems in domains such as computational biology and neuroscience. This is a
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classification of EEG and auditory signals. The group of the project is multidisciplinary, with experts in signal processing, machine learning, acoustics and language. The successful applicant will perform
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-working candidate. Main responsibilities Develop and apply machine learning and statistical modeling techniques, including novel AI architectures, for the analysis of complex traits and precision prediction
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engineering, or related disciplines who are passionate about applying machine learning to real-world clinical challenges. The successful candidate will lead the development and validation of predictive models
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
to apply Website https://jobs.inria.fr/public/classic/en/offres/2025-09273 Requirements Skills/Qualifications We are seeking highly motivated candidates with a background in machine learning and medical
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sources) Proficiency in advanced research methodologies, which may include: Neuroimaging (e.g., fMRI, EEG, fNIRS) Computational modeling or machine learning Brain stimulation techniques (e.g., TMS, tDCS
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computer science using data-driven techniques (graph theory, ICA, machine learning), in other imaging modalities (DTI; MEG), and in multimodal integration will be relevant. Experience with AFNI/SUMA, SPM, FSL
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. To learn more about USC benefits, access the "Working at USC" section on the Applicant Portal at https://uscjobs.sc.edu. Position Description Advertised Job Summary The Department of Psychology and the
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or engineering (biomedical, mechanical, electrical), or a similar field. Previous experience in motor control, gait, kinematics, neuroimaging, and/or movement disorders is a plus. Check out the lab website
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research centers on human cognition using invasive and/or non-invasive neuromodulation (e.g., DBS, SEEG/ECoG, TMS/tDCS, FUS) and electrophysiology (e.g., intracranial, EEG/MEG) or neuroimaging, with strong