74 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University
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: Medicine | IM Hematology This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk, epidemiology (such as tobacco-related
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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research focuses on improving the quality of life of patients with cancer and their care partners. CREST was founded by the OSUCCC – James, and is led by Jessica Merlin, MD, PhD. Position Summary We
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data Experience with GIS/RS and database environments (e.g., ArcGIS and Quantum GIS) Experience with machine learning and statistical learning Experience working with large, diverse datasets Familiarity
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State University College of Medicine and the Wexner Medical Center seek PhD Faculty to join the Department of Internal Medicine, Division of Medical Oncology. Academic rank and track commensurate with
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, PhD, or MD/PhD required. Required Qualifications Ability to interact in a highly multidisciplinary environment; experience with microbiology, immunology, and cell biology research techniques and
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Cancer Center Department: CCC | Comprehensive Cancer Center Position Description This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control
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Postdoctoral Affairs. Ohio State offers a comprehensive benefits package. Please visit https://hr.osu.edu/benefits/ to learn more. Successful candidates must have obtained a PhD prior to starting the position
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machine learning—for chemical and biological applications. You will design and implement models ranging from molecular to process scales, develop model-predictive control and optimization strategies, run
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Center Department: CCC | Comprehensive Cancer Center Position Summary This program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk