76 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University
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engineering, materials science and engineering, or computer science and engineering. The postdoctoral fellow is expected to actively work with more than one CQISE faculty member at OSU to strengthen
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qualifications: Experience with VASP and high performance computing Proficiency in programming (Python or C or C++ or Fortran) Experience with developing machine learning interatomic potentials A solid background
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Department: Medicine | School Biomed Sci - Biomedical Informatics The position of Post Doctoral Scholar in Human-Computer Interaction (HCI) offers an excellent opportunity to conduct research in
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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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of Biomedical Informatics (BMI) and the Pelotonia Institute for Immuno-Oncology (PIIO) are seeking a highly motivated Postdoctoral Scholar to work under the mentorship of Dr. Anjun Ma —a leader in deep learning
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, with a focus on building multimodal AI models to predict dental caries progression. The successful candidate will work on developing deep learning and computer vision models using longitudinal dental
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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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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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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