354 parallel-computing-numerical-methods positions at Harvard University in United States
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competencies are preferred: Bachelor's degree in economics, mathematics, or other field with quantitative emphasis preferred Knowledge of various research methods and statistical techniques preferred Experience
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with strong analytical and numerical skills, and backgrounds in physics, theoretical neuroscience, applied mathematics, computer science, engineering, or related fields. Experience in relevant research
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: Prepares and cooks menu items according to proper preparation methods in small batches and/or as required by business needs Tastes and evaluates all food before service to ensure food quality standards
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genomic data from parasitic and medicinal plants. The Davis Lab of Plant Biodiversity explores questions in plant evolution and ecology using a variety of cutting-edge methods. Current and past research has
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aims to develop methods for preserving pathogens for research. In addition, this position will aim in related projects with the CDC and commercial entities around pandemic preparedness and diagnostic
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The L’Oréal USA For Women in Science program awards five women postdoctoral scientists annually with grants for their contributions in Science, Technology, Engineering and Math (STEM) fields and
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Type: Postdoctoral Location: Cambridge, Massachusetts 02138, United States of America [map ] Subject Areas: Computer Science / All areas Economics Statistics / Statistical Physics , Applied Statistics
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computational efforts across multiple labs at Harvard’s Faculty of Arts and Sciences and Medical School. As part of this effort, the Rubin lab is implementing new methods of studying aging in vitro using brain
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Research Fellow provides cross-functional support on a wide array of IQSS research projects as directed by various faculty/program leads, including IQSS Faculty Director, Professor Gary King. Based at IQSS
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to detail and 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