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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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in Python, Machine learning, and Uncertainty Quantification in engineering applications, Preferred: Background in space weather and astrodynamics Excellent written and oral communication skills
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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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. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge, Skills, and Abilities Effective oral and written communication
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fellowship), who wish to prepare for careers in academic medicine. Experience with FACS analyses or the ability to effectively learn this technique will be needed. Certifications/Licenses Required Knowledge
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Qualifications Minimum Education and Experience A doctoral degree in Industrial Engineering or a related field is required. Strong and demonstrated experience in data science and machine learning for large-scale
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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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Investigator, the Postdoctoral Associate will conduct specialized cardiovascular research techniques and procedures with focus on artificial intelligence and machine learning platforms that will promote