332 parallel-and-distributed-computing-phd-"Multiple" positions at Harvard University
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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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discontinued as of the date of such additional citizenship); are preparing for a PhD degree or post-doctoral research in a STEM discipline. The Faculty for the Future program does not fund Master level studies
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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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Qualifications The Fellowship is meant for recent postdoctoral scholars who have completed their PhD studies in the last five years. For this year’s application cycle, applicants must have obtained their PhD
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, and make a meaningful impact. Wherever you are in your career journey, HLS is a place where you can thrive, contribute, and be part of something bigger. Job Description The Graduate Program is the
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at Harvard and to train new generations of scholars and experts on the region. The Center administers a master’s program in regional studies; sponsors academic, cultural, and community events; supports faculty
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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 statistical genetics. Potential research projects include (but are not limited to) developing statistical methods and theory for large-scale multiple testing, variable selection, spectral clustering
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, 120-128. Basic Qualifications A PhD (or equivalent), or near completion, in a relevant field such as chemistry, physics, materials science, or engineering (chemical, electrical, or mechanical
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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