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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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working on several projects involving medical image analysis, neuroimaging, and neuroscience. This position is based in the Developmental Network Neurobiology Lab in the UF School of Medicine in
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protein purification is required. Familiarity with bacterial membrane preparation and proteomic and lipidomic analyses is desirable, as is RNA preparation and RNAseq analysis. Candidates who have experience
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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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on the use of new Lyapunov-based deep learning methods. Such development includes: ideation, mathematical development, Lyapunov-based analysis, executing simulations and experiments, and disseminating research
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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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of soft materials, and mammalian and/or bacterial cell culture(s). Practical knowledge in high-throughput experimentation, confocal microscopy, and image analysis will be a plus. Must have PhD in Polymer
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. Experience in patch-clamp electrophysiology. Experience with rodent behavioral assays and analysis. Experience in molecular techniques such as RNAseq and in situ hybridization. Experience in optogenetics