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metabolomic studies. Complete the assigned work in time. Complete complex research projects at different stages (advanced through nearly completed). Formulate, troubleshoot and optimize research methods and
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spatial light modulators such as LCoS, and DMD, and with beam steering modalities to control such devices. Knowledge of interfacing camera and detectors to opt-electro-mechanical system. Excellent verbal
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-doc Fellows in Cancer Prevention and Control Minimum Qualifications Ph.D. in Nursing, Public Health, Psychology or health-related field by the time of hire. Preferred Qualifications Superior ability
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extraction and microbiome processing, library preparation for next-generation sequencing (NGS), and optimization of protocols for a variety of samples, including non-invasively collected samples. Conduct high
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of neural activity with control of defined circuit elements and utilizing imaging, optogenetics, anatomy, high-density freely moving neurophysiology, behavior, and computation. Ideal candidates will have a
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at different stages (advanced through nearly completed). Formulate, troubleshoot and optimize research methods and techniques as needed. Independently reproduce, evaluate, research, and improve techniques
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with basic Immunological concepts. Preferred Qualifications Prior experience with live cell fluorescent imaging. Experience working with Python, R, and/or command line applications. FLSA Exempt Full Time
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. Additional duties as assigned. Knowledge, Skills and Abilities: Knowledge in scientific or engineering field related to Artificial Intelligence and Machine Learning. Knowledge in control theory and
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implementing AI tools, to analyze omics data on a high-computing cluster. Participates in data interpretation such as data quality control, variant interpretation and classification. Utilize good coding
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of only 53 in the nation. The UACC Cancer Prevention and Control Program is seeking a talented postdoctoral trainee to join their team. The successful candidate will conduct innovative research examining