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can PI proposals as well as participate in collaborative proposals) who will conduct independent and collaborative research and develop collaborations with faculty, staff, and students. You will have
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, development, implementation and testing of a free-space optical laser communication system. The successful candidate will be responsible for leading a government funded research project with a team of faculty
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tracking and EEG methods, cross-disciplinary collaboration, and opportunities for mentorship, authorship, and grant development. Our main focus is in how people search withing the visual world, and in
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-scale human health datasets (e.g., UKBioBank, WHI, All of Us) using statistical and artificial intelligence/machine learning techniques. Develop and implement machine learning models, including
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’ perspectives on greenspace, heat, and health. This includes developing a photovoice project (or an alternative approach, if more suitable) to engage youth—and potentially adults—in providing feedback
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establish an independent record of grant funding. The candidate will be mentored in career development. We embrace diversity and seek candidates who will contribute to a climate that supports students
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. Independently develop reports and manuscripts and present findings in tabular, oral, written, and/or graphic formats. Grant writing and manuscript preparation. Participate at scientific conferences and present
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results. Scholarly collaboration - Submit experimental results for publication in peer-reviewed journals. Train and supervise research assistants (undergraduate, graduate, and technical staff) working
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patient-specific human induced pluripotent stem cells (iPSCs), primary human cells/tissues, along with animal models, to develop a platform for the evaluation of cardiovascular toxicity associated with
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use a combination of patient-specific human induced pluripotent stem cells (iPSCs), primary human cells/tissues, along with animal models, to develop a platform for the evaluation of cardiovascular