19 postdoc-image-processing Fellowship positions at University of Texas Rio Grande Valley
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advanced manufacturing processes and systems. This trainee position allows the Postdoc to pursue research as a vital component of his/her educational mission and professional career development. Works under
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generating data utilizing advanced instrumentation/techniques, flow cytometry, confocal imaging, live animal IVIS and CT-PET machines, X-ray radiation, XCELLigence, Seahorse, ultracentrifuge, Proteomics (Mass
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digital elevation model (DEM). Experience in using landscape evolution, flow routing, sediment transport, or hydrological models. Experience with drone survey and data processing. Field experience in
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local communities and with parents. Understanding of the promotoras model of leadership. Fluent communication in both English and Spanish. Equipment Use of personal computer and proficiency in software
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and combinatorial perspectives. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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as an occupational therapist. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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experience as an occupational therapist. Preferred Experience None. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be able
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for this Presidential Research Fellowship Award: • Comply with all UTRGV Assistantship requirements. • Register for required coursework as soon as possible to ensure your scholarship is processed in a timely manner
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instruction, peer-reviewed journal publication, and scholarly presentations. Licenses/Certifications None. Required Experience None. Preferred Experience None. Equipment Use of personal computer and proficiency
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abiogenesis, Experience in mentoring undergraduate and graduate students. Equipment Use of personal computer and proficiency in software and research statistical applications. Working Conditions Needs to be