47 computational-model Postdoctoral positions at Stony Brook University in United States
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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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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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experience with larval or pathogen dispersal simulation and connectivity analyses strongly preferred. Knowledge of epidemiological modeling, and proficiency in multiple programming/analytical computer
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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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the appointment. Ability to demonstrate professional competence in relevant research activities. Preferred Qualifications: Proficient in wetlab (cell culture, bench assays), dry lab (computational analysis), and
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surgical procedures, mouse behavior, extensive knowledge of the basal ganglia and striatum and amygdala. Experience with anterograde and retrograde circuit tracing. Experience with mouse models of compulsive
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increased risk of cardiovascular complications. Using molecular and genetic techniques in transgenic murine models, MPN patient-derived induced pluripotent stem cell lines, and primary patient samples, we
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, or a closely related field. Preferred Qualification: Research experience in biomedical implants, animal models, and aging/Alzheimer’s disease. Research experience in biomaterials, neuroscience
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Postdoctoral Associate Required Qualifications: (as evidenced by an attached resume) Ph.D. (or foreign equivalent) in Electrical Engineering, Computer Science, Applied Mathematics, or a closely
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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