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Field Engineering Education Level Master Degree or equivalent Skills/Qualifications Python, MATLAB o similar; Avanzado paquete MS Office; Se valorará experiencia en laboratorio/ Python, MATLAB, or
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supervise research assistants and staff to help with participant recruitment Verify participant data daily to ensure collection is accurate and process data with MATLAB, Python, and R scripts as needed
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, neurophysiological and neuro-cognitive assessments o Develop and adapt software using MATLAB to extend assessments to other areas of functional investigation and finalise data analysis tools The Brain and
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performance technology ( GPS , heart rate, force plates, etc.), data collection, and data analysis (Python, R, SQL , MatLab, etc.) Build and manage Football Teamworks AMS integrations, forms, and dashboards
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neural data and their relationship with behavior, and/or developing in silico models of neural activity. Research activities will mainly rely on computational and data-processing tools, including Matlab
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multimedia resources. Contest Procedure Applications must be exclusively submitted on the admissions platform of the Instituto Superior Técnico at https://fenix.tecnico.ulisboa.pt/fenixedu-admissions
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Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH | Barcelona, Cataluna | Spain | about 1 month ago
articles. Carry out bibliographical research. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for-recruitment-of-ptgas-staf… Requirements Research Field Engineering » Computer
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hydrological and related datasets • Apply machine learning and AI techniques to interpret water system dynamics • Develop and implement algorithms using MATLAB and other programming languages (e.g
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Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research
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, and experience with image processing (MATLAB experience preferable). Staff webpage: https://www.nist.gov/people/david-deisenroth Testbed wepage: https://www.nist.gov/el/intelligent-systems-division