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Qualifications: Extensive experience in neuropsychological report writing. Relevant coursework in neuroanatomy, neuropsychology, psychometric theory, statistics Demonstration of scholarship in neuropsychology
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intelligence or machine learning from other fields. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process
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intelligence or machine learning from other fields. Candidates seeking to bridge multiple disciplines or bring AI into new scientific/applied domains are particularly encouraged to apply. We will process
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theory and applications, instrumentation and signal processing and cloud microphysics and dynamics. Strong programming abilities (like Python), statistical knowledge, machine learning expertise, and data
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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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expertise across multiple levels—from circuits and architectures to algorithms, models, and systems—and includes opportunities for radiation testing at the NASA Space Radiation Laboratory (NSRL
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applicants may select from multiple projects and should have experience in most of the following areas: ● Background in cell/molecular biology. ● Experience with mouse models. ● Experience with
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applicants may select from multiple projects and should have experience in most of the following areas: ● Background in cell/molecular biology. ● Experience with mouse models. ● Experience with
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assigned, depending on the research interest of the incumbent may include MRI pulse sequence and/or reconstruction development across multiple 3 T platforms, and participation in complementary projects
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students and research assistants. ● Other duties as assigned, depending on the research interest of the incumbent may include MRI pulse sequence and/or reconstruction development across multiple 3 T