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progress on pressing climate challenges. The candidate will be in close physical proximity to others working on policy-relevant environmental research, including other postdoctoral fellows housed at and near
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Qualifications Postdoctoral fellow in visual neurophysiology and deep modeling — Ph.D. or M.D./Ph.D. in neuroscience, biomedical engineering, computational neuroscience, physics, psychology, or related field
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subtilis, in many cases, taking advantage of the developmental process of spore formation in this organism. The lab also studies cell envelope biogenesis in two Gram-positive pathogens: Staphylococcus aureus
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scientific development and for contributing to pioneering research. Specifically, the fellow will apply as well as develop code to process and analyze mycobacterial molecular and phenotype data. Including code
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Harvard Law School, and/or appropriate Programs, Institutes, Centers, Departments, or Schools. The application process will be open to both internal members of the Harvard community as well as external
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understanding of innovation and digital transformation. Candidate Profiles: We seek candidates with strong quantitative and computational research skills in one of the following areas: Economics: PhD in Economics
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming
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place across the departments of Physics, Chemistry and Chemical Biology, Mathematics and the School of Engineering and Applied Sciences. Active research areas include quantum information and computer
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-zero future. The candidate will be in close physical proximity to others working actively on the energy transition and to other postdoctoral fellows housed at and near the Salata Institute. Basic
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degree requirements must be satisfied prior to the fellowship start date and not be more than five years removed from obtaining their PhD. Applicants are expected to have strong analytical and programming