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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 18 days ago
: The scholarship holder will acquire electrophysiological data (EEG; ECG; EMG) from healthy and/or stroke patients, involving brain-computer interfacing with VR training in a lab and in a clinical environment
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will have master's level training in biostatistics, computer/data science (coding), or epidemiology. This position will work alongside our team's epidemiologist and clinical data manager, and primarily
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have been completed earlier. Additional requirements: Very good oral and written proficiency in English. Demonstrated experience in computational methods, particularly in deep learning and computer
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quantitative backgrounds who are enthusiastic about bringing their expertise to address fundamental problems in biology and medicine using cutting-edge technologies. The Pritykin lab (http
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staff position within a Research Infrastructure? No Offer Description The general objective of this project based at the State University of Campinas's Faculty of Electrical and Computer Engineering (FEEC
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Posting Details Student Title Classification Information Quick Link https://chapman.peopleadmin.com/postings/39321 Job Number SE184724 Position Information Department or Unit Name Fowler School
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Job Description Are you an established researcher in probabilistic machine learning, with a passion for developing robust, trustworthy, and explainable AI methods for applications in science and
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part of a team developing analytic likelihood approximations and neural posterior estimation methods for epidemic data analysis. This role offers an excellent opportunity to work at the interface
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analysis tools (e.g., NetworkX or equivalent) Familiarity with permutation-based statistical methods (MR-QAP preferred) Interest in human-computer interaction Special Instructions to Applicants Budget
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo