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provides robust learning experiences related to the science and application of HEOR, including cost studies, data analytics, economic models, real-world evidence, services utilization analysis, systematic
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Investigator, the Postdoctoral Associate will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote
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conferences and learn appropriate scientific methods and procedures. Among the key duties of this position are the following: Carry out multiphoton optogenetic manipulation and imaging of neural activity in
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(classic; Bayesian), machine learning, or other statistical approach with accompanying expertise in whatever stats package(s) is desired (SPSS; R; Stata; SAS; NumPy or PsyPy; etcetera). A strong ability to
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statistics or machine learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: Standing, sitting, walking, talking and hearing. No special vision requirements. Lifting up
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preferred. Experience working with NCBI dbGaP, TCGA, COSMIC data preferred. Training in statistics or machine learning is a plus. Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS
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Education, the Post Doctoral Associate will educate and teach medical students pedagogical strategies for the anatomical sciences and virtual microscopy of histologic images and cadaver dissections. Among
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motivated Postdoctoral Associate with expertise in process engineering tools, including process modeling, process control, machine learning, and artificial intelligence, to support ongoing proposal efforts in
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to communicate with other researchers and staff in person, on the telephone and by e-mail. Vision capable of viewing gauges, computer monitors, charts, forms, text and numbers for prolonged periods. Must possess
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Close Date Qualifications Minimum Education and Experience An education in the life sciences is required in order for the individual to effectively teach genetics, biochemistry, and molecular biology to