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Qualifications Education: PhD, MD, or equivalent doctoral degree. This position requires a formal degree in the cited discipline area(s) to ensure that candidates have advanced knowledge, analytical skills and
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manuscripts for publication. Maintains substantial knowledge of state-of-the-art principles and theories relevant to the lab’s program of research. Applies advanced analytical models and provides solutions and
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previously been subject to various analyses. The analytical data is currently preliminary and incomplete. You will work with the unpublished dataset, identify data gaps and to carry out new analytical work
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of Physics (Ref.: 534748). Applicants should possess a Ph.D. degree in Condensed Matter Physics. Experience in numerical techniques and analytical field-theoretical approaches is desirable. Applicants who
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Details Title Postdoctoral Specialist – Health Policy Analytics School Harvard Medical School Department/Area Department of Health Care Policy Position Description Overview: The Department of Health
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related field. Strong knowledge of machine learning. Strong publication record in a relevant field. Excellent analytical and problem-solving skills. Interest in collaborative research with both academia and
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National Aeronautics and Space Administration (NASA) | Greenbelt, Maryland | United States | about 1 hour ago
by infrared and ultraviolet spectrometers. The incorporation of simple analytical or more complex 1D/3D numerical models is highly encouraged to aid in proposed data analysis and interpretation. Field
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. The postdoctoral researcher will contribute to cutting-edge research at the intersection of Earth Observation, geospatial analytics, artificial intelligence, climate and sustainability science, aiming to develop
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approaches to study the scientific problem from the perspective of biological(s) that have potentially high value or high impact in the African context; Select analytical methods that are suitable
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executing experiments to interrogate host-microbe interactions, analyzing and interpreting microbiome sequencing and/or metabolomics data, developing novel computational or analytical approaches