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approaches will be key. Outputs will include new estimation tools and inform the design of future population surveys, contributing to pandemic preparedness agenda. The successful candidate will have a PhD in a
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candidate will have a PhD in a strongly quantitative discipline, but applications from candidates close to submitting their PhD are also welcome. Familiarity with deep learning methodologies is essential, as
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, qualifications and experience required to perform the role are: Has obtained or is close to obtaining a PhD in a topic related to ergonomics, human factors, cognitive psychology, or relevant design discipline. The
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PhD (or close to obtaining) in a relevant subject, or equivalent experience; Understanding of embodied carbon and design; Evidence of interdisciplinary working that covers structural engineering
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research interests. Basic Qualifications PhD in computational genomics or related field. Additional Qualifications Special Instructions Letters of recommendation are not required at the time of application
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during their time at St Catharine’s. The ideal lecturer is either a PhD student or Postdoctoral researcher with knowledge of the relevant subject area who is able to provide an interesting course pitched
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quality data, and devising new project approaches. You will be expected to draft scientific manuscripts and may be involved with day-to-day supervision of Masters or PhD students. Candidates should have an
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PhD in a relevant field, a strong research track record, and may have previous postdoc experience. Candidates should have expertise in at least one of the following: symplectic geometry, mirror symmetry
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Harvard University John A. Paulson School of Engineering and Applied Sciences | Allston, Massachusetts | United States | 6 days ago
. There may be opportunities for teaching as a part of the curricular development of the program. Basic Qualifications PhD in computer science or related field required. A minimum of 10 years of relevant work
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://curriculumfellows.hms.harvard.edu/graduate-science-education-series BASIC QUALIFICATIONS: Candidates are expected to have a PhD in Computational Biology, or closely related field and 0-3 years of postdoctoral research/fellowship