Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Harvard University, Statistics Position ID: HarvardStats-POSTDOC [#28204] Position Title: Position Type: Postdoctoral Position Location: Cambridge, Massachusetts 02138, United States of America [map
-
Health, is responsible for the design, monitoring and statistical analysis of clinical trials and observational studies for several major national and international NIH-funded clinical research networks
-
(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
-
Harvard University, Statistics Application ID: Harvard University-Statistics-POSTDOC2 [#30554] Application Title: Postdoctoral Fellow at Harvard in RL with Applications in Digital Interventions
-
are not available or are not adequate. 2.) Apply computational, statistical, and AI/ML approaches to uncover biological insights and support functional discovery by analyzing multi-omics datasets eg
-
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
-
practices in data synthesis and translation and supports a broad set of university functions, works closely with partners across Harvard. Link to OIRA website: https://oira.harvard.edu/ . Job-Specific
-
and statistics, and advanced programming skills are therefore desired. The role will also involve preparation of graphical displays of results and manuscripts for publication. Basic Qualifications Ph.D
-
relevant field and the ability to teach effectively in a policy-focused, professional school environment. Applicants should submit a CV and teaching evaluations to https://academicpositions.harvard.edu
-
methodological innovations that bridge the gap between computational theory and impactful clinical application. We are seeking a highly motivated individual with a strong statistical and machine learning