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engineering training. Laboratory activities include setup and data collection of nutrient release studies along with quantitative and physical analysis of samples using advanced spectroscopic and microscopy
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Classification Title: OPS Sponsored Projects Non Clerical Job Description: The Department of Physical Therapy located in the College of Public Health and Health Professions is seeking a part-time
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Qualifications: Proficient in R/Python Prior experience in genetic or genomic data analysis will be considered a plus during the selection process Special Instructions to Applicants: Interested applicants should
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email addresses 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
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on their behalf directly to Prof. Matthew Disney at [email protected]. Please provide names and email addresses of three to five references as part of the application process. When ready, the hiring department will
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references (references will not be contacted for letters until the applicant has advanced to a later stage of the search process), and (4) one or two examples of scholarly writing (e.g., dissertation chapter
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informatics. Your contributions will directly influence patient care, clinical decision-making, and medical research. Responsibilities: 1. Natural Language Processing (NLP): Leverage NLP techniques to process
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-being, and enable scientific and educational research. Across the two positions, we are seeking experience in database management, human subject research including ethics approval process and regulatory
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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 the
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) process including screening application packets, recommending acceptance of qualified applicants, sending invitations, and scheduling clinical rotations. Ensures all documentation is completed for students