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methodologies. Experience conducting qualitative research using interviews, participatory, or observational studies. Familiarity with software for qualitative data analysis, such as NVIVO, is an advantage
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recovery. Oversee the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning
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of the following disciplines: exercise science, kinesiology or sports medicine. Educational background in exercise science. Expertise in monitoring muscle function. Adept at VO2 analysis, lactate threshold
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: exercise science, kinesiology or sports medicine. Educational background in exercise science. Expertise in monitoring muscle function. Adept at VO2 analysis, lactate threshold assessment and heart rate
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the collection, processing, and analysis of physiological data from recreational and elite athletes across various exercise protocols. Utilizing machine learning and deep learning algorithms, integrate multi-modal
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Impairment trials, also including the analysis of clinical or behavioural trial samples and/or data, and which are aligned with the vision and mission of the CTTP funding the award. At the time of funding
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Windows and Linux environments, and using the following software: MSOffice, SPSS or R, and Matlab. Experience using SPM, FSL, ANTs, PLS and/or AFNI or similar image analysis software is required. Excellent
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because women in science have the power to change the world. The program is the U.S. component of the L'Oréal-UNESCO For Women in Science International Fellowships program . Celebrating its eighteenth year
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including, but not limited to, the research questions, design, methodology, analysis, interpretation, and dissemination of results, and integrate these considerations where relevant. For more information
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of Fellows, a constituent group within STLHE.