25 evolution-"https:"-"https:"-"https:"-"LGEF" Postdoctoral research jobs at Stony Brook University
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in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including researchers, clinicians, and
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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methodological and applied topics in biostatistics. The role also involves contributing to grant applications and manuscript development, as well as collaborating with interdisciplinary teams, including
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system design, hydrogen generation and storage integration, safety critical operations, DAQ development, and performance verification of a modular hydrogen R&D platform. The postdoctoral researcher will
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at conferences, prepare manuscripts for peer reviewed journals, and mentor graduate students and research assistants. ● Additional opportunities include MRI pulse sequence development based on Pulseq and/or
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research assistants. * Additional opportunities include MRI pulse sequence development based on Pulseq and/or reconstruction methods across multiple 3T platforms; participation in collaborative projects
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at conferences, prepare manuscripts for peer reviewed journals, and mentor graduate students and research assistants. ● Additional opportunities include MRI pulse sequence development based on Pulseq and/or
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involved in the hedgehog signaling pathway, the extracellular matrix, and cellular differentiation in the context of skin and hair follicle development, aging, and skin cancers. Both in vitro and genetically
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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