573 machine-learning-"https:" "https:" "https:" "https:" "https:" "University of St" positions at Harvard University
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applicants for a postdoctoral fellow position in the Laboratory of Systems Pharmacology (LSP; https://labsyspharm.org/ ), part of the Harvard Program in Therapeutic Science, at Harvard Medical School in Boston
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Genomics at Harvard Medical School Several positions are available in the Park Lab (https://compbio.hms.harvard.edu/ ). The aim of the laboratory is to develop and apply innovative computational methods
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systems at various scales, for example using ab initio electronic structure methods like density-functional theory, developing interatomic potentials with various methodologies including machine learning
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DNA elements and transcriptional and chromatin remodeling machinery in gene regulation. More information about the lab and specific research areas can be found at https://adelman.hms.harvard.edu
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membranes. Please see https://blacklow.hms.harvard.edu/ for additional information on areas of research. We welcome applications from recent PhD graduates who are interested in these or related fields
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of cilia. More information about the lab and specific project areas can be found at https://brown.hms.harvard.edu/research. We welcome applications from recent PhD graduates, particularly those who may
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incorporating technology into instruction. Experience teaching specialized topics (e.g., literature, film, media). Special Instructions Please submit the following materials through the ARIeS portal (https
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at the intersection of technology and public policy. One position will focus on the application of new technologies to the solving of public problems. We are particularly interested in computer scientists or social
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anticipated teaching needs include: Methods: Data Science Machine Learning Artificial Intelligence Technology and Policy: Cybersecurity and Privacy Space Technology and Policy Biotechnology and Society Product
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(https://www.hsph.harvard.edu/lin-lab/ ), Professor of Biostatistics and Professor of Statistics. The postdoctoral fellow will develop and apply statistical, machine learning (ML), and AI methods