59 phd-in-mathematical-modelling-population Postdoctoral positions at Stony Brook University
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Stony Brook University, Mathematics Position ID: StonyBrook -POSTDOC [#25194] Position Title: Position Type: Postdoctoral Position Location: Stony Brook, New York 11794-3651
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Predominantly Undergraduate Institution in preparation for an academic career. Required Qualifications: (as evidenced by an attached resume) PhD (or foreign equivalent) in a biological/biomedical field related
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to neurovirulence. Preferred Qualifications: PhD or Postdoc experience in Flavivirus research. Experience in BSL3 with neuropathogenic viruses and ABSL3 murine models. Two (2)- Five (5) years of molecular biology
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to neurovirulence. Preferred Qualifications: PhD or Postdoc experience in Flavivirus research. Experience in BSL3 with neuropathogenic viruses and ABSL3 murine models. Two (2)- Five (5) years of molecular biology
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Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics, or related disciplines and must demonstrate research
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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Computational Neuroscience ● Mathematical/Theoretical Foundations of Artificial Intelligence Applications should hold a PhD in Computer Science, Electrical and Computer Engineering, Applied Mathematics
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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Computer Science, Applied Mathematics, Physics, Computational Biology, Neuroscience with Computational or Theoretical focus, or a closely related field. Preferred Qualifications: Familiar with Information Theory
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at the British Antarctic Survey. We seek an enthusiastic and quantitative researcher to develop a mechanistic model integrating foraging energetics and movement data to assess how wind and sea ice influence giant