94 big-data-and-machine-learning-phd Postdoctoral positions at Stony Brook University
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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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met to maintain FLSA exemption. Resume/CV, cover letter, and contact information for 3 references should be included with the online application. Visit The Office of Postdoctoral Affairs to learn more
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ongoing projects. Excellent written and verbal communication skills are also required. Specific Duties: ● Plan experiments and technical requirements, prepare and test specimens. ● Analyze data and
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and methodology, conduct research experiments in the field of cell signaling, cellular morphogenesis, and fungal pathogenesis. ● Collect and analyze data, including periodical/literature search
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University and beyond to develop superior scientific models and world class translational radiopharmaceuticals. * Collect and analyze biodistribution data, PET/CT images and therapy survival metrics, including
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Brook University and beyond to develop superior scientific models and world class translational radiopharmaceuticals. ● Collect and analyze biodistribution data, PET/CT images and therapy survival
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research experiments in the field of cell signaling, cellular morphogenesis, and fungal pathogenesis. * Collect and analyze data, including periodical/literature search and utilizing specialized skills in
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Brook University and beyond to develop superior scientific models and world class translational radiopharmaceuticals. ● Collect and analyze biodistribution data, PET/CT images and therapy survival
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and methodology, conduct research experiments in the field of cell signaling, cellular morphogenesis, and fungal pathogenesis. ● Collect and analyze data, including periodical/literature search