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Classification Title: Post Doctoral Associate Job Description: A Post-doctoral Associate in Social Network Analysis position is available for up to 2 years to work within the NSF supported project
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integrated circuits (IC) and printed circuit boards (PCB). Additionally, the candidate should demonstrate expertise in applying computer vision, image analysis techniques, machine learning, deep learning to IC
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Qualifications: PhD in experimental particle physics at the time of appointment. Preferred: Deep understanding of the particle detectors, particle identification, data analysis Machine learning experience is a
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management, data analysis, recruitment, and leading/contributing to manuscripts related to the project. The associate may also work to develop culturally appropriate education and dissemination based
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an essential component of UF Health services and disciplines including Oncology, Solid Organ Transplantation, Bariatric Surgery, Pain Management, Sleep Disorders Center, and Obstetrics and Gynecology
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and data analysis skills (e.g., Python, R) Solid understanding of machine learning, deep learning, and data modeling techniques. Preferred Qualifications: Prior working experience with EHR data, machine
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and quantitative data analysis is a plus. Exceptional writing and editing skills, with a strong command of grammar and style is also preferred. Special Instructions to Applicants: Application must be
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citizen science or crowdsourced data integration Proficiency in statistical modeling and time series analysis Special Instructions to Applicants: For full consideration, applications must be submitted