195 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Cedars Sinai Medical Center
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treatment to patients around the world. The Clinical Research Associate I works directly with a Clinical Research Coordinator, Research Program Administrator, or Research Nurse to coordinate and/or implement
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records, and discuss findings with the Principal Investigator. Education: Doctorate (MD, PhD, VMD or DDS) in area directly related to field of research specialization, required. PhD or equivalent degree in
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Digital Health Most Wired “ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted
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Digital Health Most Wired “ recognition program. Cedars-Sinai was assigned a Level 10—the most prestigious level of certification—among more than 300 surveyed healthcare organizations. Cedars-Sinai netted
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comprehensive faculty benefits package. Pay Range: $165,547-$450,008 Total Cash Compensation Qualifications include: Doctorate (MD or PhD) with greater than 10 years’ experience in translational (bench-to bedside
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entry systems to promote accuracy and consistency in research data. Independently manages data for research studies, including processing clinical data using a range of computer applications and database
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interactions as it pertains directly to research being performed. Educational Requirements: Doctorate Degree (MD, PhD, VMD, or DDS) in area directly related to field of research specialization required
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a research team or may be employed for a limited period of time to contribute high-level skills to a specific research or creative program. Project Scientists are not required to carry out independent
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designing the cohort for research projects. Writes and reviews standard operating procedures and maintains a computer database. Works closely with the Director in project management and customer
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Cedars Cancer Center. Our research group has an established track record in the study of metabolic pathways using in vivo and ex vivo multi-omics approaches, including computational simulations of cardiac