84 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University
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to biological and chemical hazards; requires successful completion of EHS safety training; frequently sits at a computer or microscope; frequently stands to perform bench work; occasionally lifts objects up to 20
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This NIH-funded program provides multidisciplinary training across the full spectrum of cancer prevention and control, including cancer risk, epidemiology (such as tobacco-related research), and health
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meets weekly by zoom. We require that the successful candidate participate in those meetings. Minimum Qualifications Required: The successful candidate must have a PhD in economics, consumer sciences
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techniques, data analysis, and scientific communication. Required: PhD in chemistry, physics, biomedical engineering, or other related discipline. Past graduate or postdoctoral experience in spectroscopy and
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. Demonstrated expertise in interdisciplinary research with technical and clinical teams and patients desired. Experience leveraging machine learning for human musculoskeletal biomechanics applications desired
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psychology fellows in the department. PhD in Clinical or School Psychology Required Additional Information: Responsibilities & Training Experiences Conducting comprehensive psychological and psychoeducational
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, 3) arrange to have official pharmacy school transcripts sent to the program director, Dr. Marcia M. Worley, PhD at worley.18@osu.edu, and 4) arrange for three letters of recommendation (preferably
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; develop collaborative links and good communication skills with other members in group/core scientific staff in related program areas to gain exposure to, and build knowledge of experimental research
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computer or microscope; frequently stands to perform bench work; occasionally lifts objects up to 20 lbs (e.g., reagent boxes); requires visual acuity to perform microscopy and analyze data. Location
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zone settings. The Post Doctoral Scholar will embark on a program of independent research with the primary goal to determine current-day slope stability in the southern Cascadia offshore margin based