86 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions at The Ohio State University
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program of independent research with the primary goal of improving the algorithm codes used to characterize the Earth’s gravitational field. Duties will include specialized scientific/numerical analysis
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and/or DESI data. Proficiency in statistical and machine learning methods applied to astronomical surveys is highly valued. Additional Information: The College of Arts and Sciences is the largest
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on ongoing and new research projects. Participate in writing research papers and presenting results at seminars, workshops, and conferences. Qualifications Required: PhD in Computer Science or Math Strong
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by the end of the fellowship. The Post Doctoral Scholar will also teach a dual-career (undergraduate/graduate) class on Folklore in Circulation for the Department of Comparative Studies in the Spring
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oncogenic signaling pathways with the goal of developing novel therapies for cancer treatment. Learns and utilizes new techniques. Conceptualizes and executes complex laboratory experiments across a variety
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not use nanotechnology, computer designing, PK/PD and drug delivery experiments for our studies. Minimum Education Required A highly motivated fresh Ph.D. or 1-2 year post-Ph.D. experience with
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disease (AD). Experience/Education A PhD in biological sciences, or a professional doctorate with experience in biomedical research required; background in vision research or training in ophthalmology is
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, with potential for renewal based on funding and performance. Additional Information: PhD in Molecular Biology, Biochemistry, Molecular Epidemiology, Evolutionary Biology, Bioinformatics, Biostatistics
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| School Biomed Sci - Biomedical Informatics The position of Post Doctoral Scholar in Human-Computer Interaction (HCI) offers an excellent opportunity to conduct research in an interdisciplinary team with
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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