82 parallel-computing-numerical-methods Postdoctoral positions at The Ohio State University
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development program in “Artificial Intelligence in Education & Training.” This position reports to the director of CETE and is intended to expand the center’s capacity in the field of Artificial Intelligence
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research to characterize the immunologic and genetic basis of human cancers; develops, adopts and implements new experimental methods to achieve further characterization of various human immune cell types
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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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Position Overview: We are seeking a highly-motivated postdoctoral scholar to contribute to the development and clinical translation of advanced MRI methods for womens imaging. The ideal candidate will have a
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Response Theory, etc.), and/or mixed-methods (e.g., convergent and exploratory) projects. Duties will include collecting, analyzing, and evaluating data; presenting results at conferences/workshops; writing
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quantum devices. The Post Doctoral Scholar will embark on a program of independent research with the primary goal of determining how computational and theoretical methods can provide thermodynamic design
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biofilms, microbiome, and interventions focused on ensuring food safety of hydroponically grown fresh produce. Design and implement research protocols; design safety procedures; adapt new procedures, methods
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conditions. 2. Must be able to work at a computer for extended periods for data analysis, and manuscript preparation. 3. May require routine work with biological samples, including recombinant proteins and
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background in GNSS data processing techniques, statistical methods for time-series modeling, and crustal deformation studies. Experience in time-series analysis is essential. Minimum Education Required Ph.D
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. While in the Hummon research group, this candidate will embark on a program of independent research with the primary goal to develop mass spectrometry methods in proteomics, metabolomics, and imaging