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Posting Details Position Information Posting Number PG191227PD Position Number 00109452 Position Type Post Doc FLSA Exempt Departmental Information Department ID 170301 - Mathematics Department
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Doctoral Degree (or foreign equivalent) in Mathematics, Applied Mathematics, and Statistics, or closely related
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Qualifications PhD in Computational Science, Computer Science, Applied Mathematics, Engineering or Physics by the time the appointment begins. Additional Qualifications Applicants background may include studies in
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Classification Title: Adjunct Clinical Postdoc – Applied Behavior Analysis Job Description: As a member of the University of Florida College of Medicine Adjunct Clinical Postdoc your first-year assignment will be to work in collaboration with the UF Health Center for Autism and Neurodevelopment...
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Post Doctoral Fellow - (STA014529) Organization : H0110 Mathematics Description Possesses, understands, and applies a comprehensive knowledge in area of specialization. Develops understanding and
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research specialization with advanced knowledge of equipment, procedures and analysis methods. Strong background in computer programming, mathematical modeling is required. Preferred Education: Ph.D. in
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and applied mathematics are particularly encouraged to apply. Experience with climate model analysis, modern statistical methods, and processing/analyzing large data sets and model outputs is needed
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/climate dynamics), physics and applied mathematics are particularly encouraged to apply. Experience with climate model analysis and simulation, and processing/analyzing large data sets and model outputs is
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, or Tensorflow. Candidates from the physical/mathematical sciences should have prior exposure to research in the biological sciences including research in computational neuroscience or computational structural
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project predicting the physical properties of uncultured viruses. The Luque lab has recently established an interdisciplinary method combining theoretical biophysics, mathematical modeling, machine learning