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electrophysiological assessments (e.g., acute and chronic EMG recordings) and extract data. Participate in tissue processing, including sectioning, immunohistochemistry, imaging and quantification. Assist laboratory
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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Sclerosis A current curriculum vitae Three letters of recommendation will be requested at a later stage in the recruitment process. However, applicants are welcome to submit letters earlier by attaching them
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; some college coursework in a health, biological, or data-related field preferred. Basic computer skills, including familiarity with Microsoft Excel or Google Sheets. Strong attention to detail and
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of a tokamak device. Focus on the description of processes such as plasma sourcing, wall recycling, and transport losses. Apply these models to solve problems related to plasma detachment and the
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studies. Develop and apply advanced statistical methods and machine learning techniques using tools such as R and Python. Integrate and run process-based models (e.g., crop models, hydrologic models
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process. When ready, the hiring department will contact the listed references via email, requesting their reference letters to be uploaded directly to the application website. The final candidate will be
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through the process by leading application workshops, coordinating campus interviews, and offering strategic advising. Fellowship Programming and Outreach Designs and delivers programming on prestigious
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: In order to be considered, you must upload your cover letter and resume. Please provide names and email addresses of three to five references as part of the application process. When ready, the hiring
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of three to five references as part of the application process. When ready, the hiring department will contact the listed references via email, requesting their reference letters to be uploaded directly to