193 requirements-engineering "https:" "https:" "https:" Fellowship positions in United States
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qualifications (required at time of application) Doctoral degree in engineering, oceanography or a related field, with relevant background in data-driven modeling, machine learning and/or fluid mechanics
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Details Title Postdoctoral Fellow in Geometric Machine Learning School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Applied Math Position Description A
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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both visible and infrared wavelengths, are required. In this exciting role and project, you will work under the direction of Prof. Chen-Ting Liao and in collaboration with other team members and
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Maxwell Postdoctoral Fellows, Ithaca NY In conjunction with Cornell’s Engineering Innovations in Medicine (EIM) initiative and the School of Operations Research and Information Engineering, the
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, particularly those who may bring a new technology or perspective to bear on the work in the lab. A key focus for this position will involve supporting the scientific and research activities for studies focused
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patient care in radiation therapy. Qualifications and Skills Ph.D. in Medical Physics, Physics, Mathematics, Electrical Engineering, Computer Science, Biomedical Engineering, or a related field is required
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the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines. Minimum Number of References Required 2 Maximum Number of References Allowed 3 Keywords
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Description The Teamcore Group (https://teamcore.seas.harvard.edu) at the John A. Paulson School of Engineering and Applied Sciences (SEAS) at Harvard University seeks postdoctoral fellows to work on AI
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu