74 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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modalities including immune checkpoint blockade, cytokine-based immune modulation, and engineered cellular therapies such as CAR-T platforms. The scholar will contribute to the development and refinement
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efforts will extend to therapeutic modalities including immune checkpoint blockade, cytokine-based immune modulation, and engineered cellular therapies such as CAR-T platforms. The scholar will contribute
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ensures return to editorial staff or journal for timely publication, composes and presents research at conferences; directs research personnel. Minimum Education/Experience Requirements: PhD or MD/PhD
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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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closely with interdisciplinary team members, such as psychiatrists. Fellows will also have the opportunity to work closely with other trainees and other psychology fellows in the department. PhD in Clinical
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: PhD in Engineering Desired Education: PhD in Materials Science Engineering, Electrical and Computer Engineering or Physics Required Experience: Growth and characterization of thin films; Micro- and
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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 activities and approaches
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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