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consult with our multi-disciplinary team of scientists, developers, and clinicians. Write manuscripts to summarize the research findings Be an expert on the latest machine learning techniques, methods, and
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procedures and processes; Mentoring trainees working on the project in study design, research methods, scientific writing, and team science. Required Qualifications* PhD in epidemiology, statistics
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leading multiple research initiatives that leverage imaging and computational methods to address critical challenges in urology. Ongoing efforts include the development of dynamic contrast-enhanced
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research methods Demonstrated ability to take initiative to perform needed tasks within the identified scope of work Demonstrated reliability and professionalism Experienced with Microsoft Office programs
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particular sequential, multiple assignment, and randomized trial design. You will have the opportunity to mentor the PhD students on the team. Experience in any of the following areas may be useful: SMART
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Qualifications* PhD from accredited programs in Engineering, Medicine, Nursing, Pharmacy, Public Health, Social Work, and/or related fields pertinent to study cancer care delivery. Physician scientists (MDs, Dos
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and statistical modeling for reliable analysis on spatial multiomic data. The candidate will work on both probabilistic modeling, software development, and cancer biology analysis for this position
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documentation is completed accurately and efficiently. During ultrasound imaging sessions, you will assist by preparing equipment and maintaining a smooth workflow. Your expertise with ImageJ software will be
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Medicine and Bioinformatics. The specific objectives of the project are to (i) develop mathematical and data analysis methods to analyze resilience, robustness, and tipping points of network dynamics, when
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in which they will acquire core skills in research methods including analytic skill development, manuscript writing, project management, and grant development through applied research as