529 estimation-methods "https:" "Computer Vision Center" positions at Harvard University
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Details Title Postdoctoral Fellowship in Reinforcement Learning, Probabilistic Methods, and/or Interpretability School Harvard John A. Paulson School of Engineering and Applied Sciences Department
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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, methods, and governance models to balance the societal and geopolitical opportunities and challenges technologies will create, or innovation, digital transformation, regulation, and other priority issues
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of design and innovation on value creation for stakeholders. For more information on D^3/LISH , please visit https://d3.harvard.edu and https://d3.harvard.edu/lish/ . Research Focus: Postdoctoral Fellows
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sequence-function landscapes, using a combination of empirical data and ML methods (e.g. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern
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oral health. Specific responsibilities of this position include manage various datasets, estimate statistical models, report formats and other analysis considerations, determine and write statistical
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duties and other duties as assigned. Job-Specific Responsibilities: Create and maintain FileMaker Pro (FMP) database of event invitees, the main event tracking tool. Significant amount of computer work
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-disciplinary team of researchers, including bioinformaticians, pathologists, oncologists, and computer scientists, and conduct original research on computational pathology. Digital pathology images contain rich
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statistical physics, biophysics, or in experimental method development including genomics and microfluidics. The successful candidate will work with Dr. Klein to develop an independent research project within
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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