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and program units. Proficient use of standard office software to include Microsoft Office Suite and Quicken, with the ability to continuously evolve to proficiently comprehend, navigate, and explain new
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remediate inaccessible content. - Actively participate in various communities of practice, such as the Accessibility Network at VT, the TLOS Accessibility Professionals Certification Grant Program, and other
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. • Experience using personal computers and a variety of office software. • Ability to use hand tools to perform electrical control wiring, following schematic drawings • Ability to learn and work in a team
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Categories:Research / Scientific Job Description Dr. Shenglin Mei lab at the Fralin Biomedical Research Institute (FBRI) Cancer Research Center- DC is seeking highly motivated Computational Biology postdoctoral
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, particularly turbulence in the boundary layer; developing new high-speed measurement techniques, particularly using optical diagnostics methods; augmenting experimental data with Computational Fluid Dynamics
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of youth animal science focused species. Computer applications and software aptitude, including web site management is required. Candidates must have the ability and willingness to travel, along with
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Program Design, and Universal Design for Learning. Supervising a dynamic team of professionals—including learning data analysts, a solutions architect, and a coordinator of service design and evaluation
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, curricular and program development, and the design and integration of innovative and inclusive pedagogy. Required Qualifications The successful candidate will have a PhD is neuroscience or a closely related
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, advocacy, and research. Required Qualifications • Doctoral degree in clinical or counseling psychology, from an APA-approved program with an APA-approved internship and be licensed or licensed-eligible as a
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accredited by the International Accreditation of Counseling Services (IACS) and has a doctoral internship program accredited by the American Psychological Association (APA). We promote student learning