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of the Hope lab to conduct in vitro and in vivo experiments with preclinical mouse models and primary patient samples. Experimental design and execution of in vivo mouse models of cancer and infection including
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of recombinant plasmid vectors that will permit CRISPR-Cas9 mediated gene editing and to assess their consequences in the phenotype of malaria parasites. Required Qualifications Minimum of a Masters Degree in
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of communities locally, nationally, and globally. The Center has four primary focus areas which include: 1) advancing transdisciplinary, antiracism population health research, training, and scholarship; 2
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meetings and scientific conferences. • Assist the principal investigators in drafting and submitting regular project reports to the funder. • Aid the research team’s grant writing efforts to continue lines
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the supervisor. Preferred Qualifications Master's Degree Experience with the institutional review board (IRB). Experience with RedCap data management software. Bilingual in English and Spanish preferred. Excellent
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position is for a summer undergraduate research fellow, who will perform research functions as an intern in the principal investigator's battery research group. The intern will learn how to conduct
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by Principal Investigator Dr. Sharelle Barber, Assistant Professor in the Department of Epidemiology and Biostatistics and Director of the Ubuntu Center on Racism, Global Movements & Population Health
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Qualifications Primary teaching responsibility in the life sciences, including biology, environmental science, or closely related fields. Physical Requirements Typically sitting at a desk/table Typically standing
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, screen, and interview participants to identify preferred delivery characteristics and caregiver involvement in an exercise-based intervention program. They will work closely with the principal investigator
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. Required Qualifications A master's degree in electrical and computer engineering/or Comparable are of focus is required. 0-1 years of relevant experience is required. Machine learning based computer vision