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and machine learning approaches for understanding causal relationships in complex data, with opportunities to pursue independent research as well as collaborative projects within the group. The position
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join our multi-disciplinary team of researchers, including immunologists, PhD students, physician-scientists, and bioinformaticians. The postdoctoral fellow will work in an NIH-funded laboratory and will
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(e.g., CRISPR-Cas9 or shRNA lentivirus) and unbiased big data, the Post-Doctoral Fellow will work in a NIH-funded laboratory to understand and reverse the molecular mechanisms involved in tumor
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, and the CDC Insight Network. POSITION QUALIFICATIONS REQUIRED: PhD (or equivalent) in Biostatistics, Epidemiology, or a closely related field. Strong applied data analysis and quantitative modeling
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responsible for operation of specific equipment. May teach techniques to others, train, and supervise research staff. Positions are temporary appointments as a research trainee. The initial appointment is for
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have opportunities to lead and/or co-author manuscript publications. S/he will perform population health research activities, including developing and implementing research protocols, performing data
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landscape. Candidates must be highly motivated, well organized, technically proficient, critically minded, and able to work independently but collaboratively with others. Candidates must possess a PhD, MD, or
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with colleagues. Additional qualifications as specified by the Principal Investigator. PREFERRED QUALIFICATIONS: PhD in Biostatistics, Epidemiology, or Demography, or a related field Strong expertise in
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. We are looking for a candidate with a PhD in Neuroscience or another closely related field awarded within the past three years. The ideal candidate should be highly motivated, independent, and detail
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a PhD in a relevant field by their intended fellowship start date. Preference will be given to early-career applicants, who will have received their PhD less than one year prior to their start date