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a planned randomized experiment. The fellow will be involved in data cleaning, data analysis, design of the experiment, academic and policy writing. The candidate will work under the supervision
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analysis and write up of an extensive longitudinal dataset that has followed a large population in Cebu, Philippines, for more than 40 years. Recently generated genome-wide methylation data will be used
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machine learning methods as well as in biological data analysis are needed for the position. The postdoctoral researcher will play a leading role in this research, including methods development, data
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and naturalistic visual paradigms in macaque monkeys, together with quantitative behavioral analysis and computational modeling, to identify circuit and population-level signatures of drug related
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skills for behavioral and neural data analysis Additional Qualifications Demonstrated experience designing and executing behavioral or neurophysiology experiments, ideally in nonhuman primates Experience
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technologies. Experience with imaging technologies and computational data analysis preferred. Strong publication record and evidence of research independence. Excellent communication, teamwork, and problem
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across commercial, residential, transportation, and occupational settings · Collect and synthesize environmental data, contextual observations, and metadata · Perform statistical and qualitative analysis
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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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common CNAs found in breast cancer (https://pubmed.ncbi.nlm.nih.gov/39567747/). Several lines of evidence suggest that these CNAs increase cell fitness and that cells carrying these CNAs represent
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. Mentor junior researchers and assist in training lab members in experimental techniques and data analysis. Basic Qualifications Ph.D. or M.D./Ph.D. in areas such as neuroscience, molecular biology