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. transformer models). One focus of this work will be on B-cell receptor evolution. Experience in applications of modern machine learning methods as well as in biological data analysis are needed for the position
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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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transform visual information, and how neuromodulatory state changes, including exposure to drugs of abuse, alter visual processing and visual behavior. We combine large-scale electrophysiology with controlled
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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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settings · Collect and synthesize environmental data, contextual observations, and metadata · Perform statistical and qualitative analysis to identify VOC exposure patterns and chemical signatures · Generate
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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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of molecular biology and next generation sequencing is highly preferred. 3. Familiarity with single cell data analysis is preferred, but not required. 4. Ability to work independently as well as part of
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application to lineage tracing Algorithms for characterizing structural alterations in bulk and single cell whole-genome data Mutational signature analysis for cancer/brain samples Analysis of repetitive