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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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genetic architecture of complex traits and diseases. Key responsibilities for the postdoctoral associate position include data analysis, manuscript writing, research presentation at conferences, and
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disorders, Alzheimer’s disease, human genetics, transcriptomic analysis, epigenetic study, patient derived models, mouse models of neurodegenerative disorders, immuno-based methods, CRISPR/Cas based tools
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data analysis. Record of scholarly publications and scientific communication skills Proficiency in statistical and data analysis tools (e.g., MATLAB, Python, R). Preferred Qualifications: Experience with
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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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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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and analysis pipeline to compute the 3 and 4 point correlation functions of Roman data. Must have PhD in astronomy or physics. This position will be initially awarded for one year, and, contingent upon
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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