49 phd in power electronics research jobs at University of Southern California in United States
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and treatment response and (b) gaining experience as a collaborative biostatistician, including conducting power analyses and writing statistical analysis sections for grants and conducting analyses
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, and local laws, contractual stipulations, grant funding, as well as external market and organizational considerations. Discover the power of your USC employment with our comprehensive benefits and perks
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PhD in psychology, neuroscience, education, public health, sociology, social work, or related fields. Demonstrated interest and/or experience in theory and methodology in fields/topics such as
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must have a PhD and be experienced with molecular, neuroscience, or developmental biology. Our research projects are supported by the National Institute of Dental and Craniofacial Research, NIH
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immediately. Interested candidates should also email a cover letter and a CV that includes the names of three references to [email protected]. Please feel free to contact ([email protected]) if you have any
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for an immediate start date. The ideal candidate is a highly motivated individual with a PhD in mathematics education or learning sciences who wishes to conduct cross-disciplinary research to develop an intelligent
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and the pharmaceutical industry. Leadership abilities with strong written and verbal communication skills, analytical skills, detail-oriented, time-management skills, ability to multitask, problem solve
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should have a recent doctoral degree (e.g., PhD, DrPH, MD/MPH) in Epidemiology, Nutrition, Biostatistics, Behavioral Sciences, Biostatistics, or related disciplines in a regionally accredited U.S
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studies. Consideration will be given to the alignment of the candidate’s scholarship with the work of potential faculty mentors. Applicants must have a research doctoral degree or equivalent (e.g., PhD, ScD
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candidate will have a PhD in a relevant field of biomedical science, but specific experience in cancer biology preferred, along with prior mouse models experience. Evidence of peer-reviewed publications