44 phd-mathematical-modelling-ecological-modelling 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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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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equivalent) in hand by September 1, 2025. Experience using advanced statistics to answer ecological questions, programming in R, Matlab or other statistical languages. Preferred Qualifications: Ph.D
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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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with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly desirable
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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experience with numerical modeling codes such as ASPECT or Underworld Geodynamics (UWG). Preferred Qualifications: Familiarity with landscape evolution modeling tools like Fastscape or BADLANDS is highly
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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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, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing ● Emerging AI/ML models and hardware