100 experiment-"https:"-"https:"-"https:"-"https:" Fellowship positions at Harvard University
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Position Description The Laboratory for Particle Physics and Cosmology at Harvard University invites applications for two Post-Doctoral Fellowships to be associated with the ATLAS experiment
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Physics and Cosmology at Harvard University invites applications for two Post-Doctoral Fellowships to be associated with the ATLAS experiment. Applicants for these positions should have a Ph.D. in
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how different stages recover from reorganization and injury. The postdoctoral researcher will perform molecular, cellular, and developmental experiments, obtain sequencing data, data analysis, and
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biological insights into these models. ● Work with wet-lab biologists to design and implement appropriate experiments for future computational analysis. ● Explore advancing technologies such as
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Postdoctoral Fellow in Atmospheric Science. The successful candidate will conduct laboratory experiments investigating heterogeneous halogen and nitrogen chemistry on organic and biomass-burning aerosols under
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, organizational, communication, and decision-making skills Additional Qualifications · Interest in & experience with biological data (e.g., microbiome, inflammation) · Interest in & experience with aging research
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to candidates with research experience in cancer biology and therapeutics as well as neurodevelopment and neurodegeneration. Candidates must hold a Ph.D. in a relevant field. Independent funding is not required
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on factors such as years of experience, training or qualification, field of scholarship, and accomplishments in the field. Information about benefits can be found on the Harvard Human Resources website
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, communication, and decision-making skills Basic Qualifications 1) Ph.D. in psychology, health and human development, social epidemiology or a related field; 2) Experience with managing and programming large-scale
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, communication, and decision-making skills Basic Qualifications 1) Ph.D. in psychology, health and human development, social epidemiology or a related field; 2) Experience with managing and programming large-scale