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degree (PhD or equivalent) in Statistics or Biostatistics. Solid training in statistical methods. Experience analyzing clinical trial data. Excellent written and verbal communication skills. Strong
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, working in a collaborative team, survival analyses, and non-invasive biomarkers is preferred. Candidates must have obtained their PhD in a related field prior to the start date. Responsibilities will
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motivated individual with experience in deep learning and a PhD in computer science, electrical engineering, biomedical engineering, biomedical informatics, biostatistics or a related discipline. Required
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, presentations at local/national conferences, manuscripts, and grant-related materials, depending on experience and interest. Choose Duke. Required Qualifications · PhD, MD, DO, PharmD, DVM, or equivalent doctoral
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Qualifications at this Level Education/Training: PhD (theoretical nuclear/high-energy physics, quantum information science, lattice gauge theories, quantum many-body dynamics) Experience: Preferred--computational
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software. Receive tailored mentorship in grant writing (e.g., NIH K99/R00), career planning, and leadership. Minimum Qualifications: The candidate should hold a PhD (or equivalent) in Computer Science
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and social data. Minimum Requirements: A PhD degree is required. Preferred Qualifications: Experience with large-scale or high-dimensional datasets (e.g., cohort, registry, or omics data) Familiarity