294 phd-computational-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Harvard University in United States
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especially encourage candidates with proven experience in applying computational and experimental methods to social scientific questions – including aptitude in working with large-scale datasets and text
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and professional development funding will be available. The aim of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using
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of this program is to expand the pool of talented academic leaders equipped to conduct research that advances health equity using the frames of social medicine. Fellows will be mentored to pursue the next phase of
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pseudostratified epithelial architecture, and its role in tissue behavior. It will also involve use of advanced live imaging, genetic manipulations, computational modeling, and mentoring junior team members. A
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Quick Links: Program Description | Application | Funding | Eligibility | Terms of the Award | Confidentiality Agreements | Reporting | Publications | Forms for Awardees | Application
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Qualifications Basic Qualifications: PhD in political science, economics, or sociology required. Minimum seven years professional work experience in conducting original research; a combination of doctoral-level
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, design engineering, real estate and housing-with an emerging research program and a robust public program of lectures and exhibition. The GSD is Harvard’s epicenter for scholarship and innovation related
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Degeneration Research grant recipient, Yong-Su Kwon, PhD Our Funding Philosophy It is our firm belief that having the courage to invest in innovative ideas will lead to revolutionary therapies. BrightFocus
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applicant will be expected to develop an innovative research program in sequential decision making. Our lab is involved in digital health studies in dental health, cardiac health, physical activity, mental
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organization skills Interest in learning and strengthening existing skillsets Strong technical and programming skills, familiarity with current deep learning techniques, with a focus on computer vision Special