96 software-formal-method-phd Fellowship research jobs at Harvard University in United States
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interaction in chemistry and in cellular signaling. We are also applying mathematical formalism to reason about functional organization in biology. We welcome applications from recent PhD graduates who bring a
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position. We are most interested in applicants who have experience in computational methods development, in human genetics or a different field. Possible areas of research include: 1. Developing methods
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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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, epigenomics, transcriptomics, and proteomics) information. The postdoctoral fellow will develop and refine machine learning methods for analyzing histopathology, clinical, and multi-omics data, collaborate with
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. Basic Qualifications Applicants must have a PhD, professional degree, or a minimum of 5 years of equivalent professional experience by September 1 of the fellowship year. Faculty, Postdoctoral Researchers
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-institute/ Basic Qualifications To be eligible, a candidate must be, at the earliest, in the final year of their Ph.D. training and able to formally complete, defend, and receive their Ph.D. by the time the
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their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include private sector initiatives aimed
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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scholars who have recently completed their PhD in economics, business, psychology, public policy, political science, environmental science, statistics, or related fields, and whose research interests include
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scalable systems of design and analytic planning methods to make tangible and systemic impact, and to explore the risks and potentials of emerging technological capabilities such artificial intelligence