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Field
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organization and disease states. Develops integrative models combining genomics with pathology images or time-series data. Participates in large collaborative studies, manuscript and grant writing. Mentors
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into commercial products that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging
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. The large numbers of dead and dying trees are dangers to humans and infrastructure, contribute to elevated dead fuel loadings, and alter habitat quality and timber value. The USDA Forest Service has provided
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, and LangChain ● Experience working with Large Language Models and evaluating their performance ● Familiarity with data privacy regulations and ethical considerations for medical AI
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second in the UK for research power and first in England. The UCL Hawkes Institute (https://www.ucl.ac.uk/hawkes-institute/ ) combines methodological researchers from the Departments of CS and Medical
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benefits eligible. Information regarding postdoctoral fellow salary, which is determined by the number of years post PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With
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manuscript preparation, conference presentations, and grant-related deliverables. Requirements: • Strong experience with EMR or other large clinical datasets. • Proficiency in data analysis tools (e.g., R
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that solve big problems. We support research that universities, companies, and venture capital firms don’t fund because they view it as too risky. We prefer to use the word “challenging,” and we love
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, and how their combination can improve safety signal detection. As a PhD fellow, you will be working with large-scale longitudinal data, managing data, writing scripts, performing statistical analyses
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field. Have proven expertise in statistical modelling and machine learning for large and complex datasets. Have proficiency in Python and/or R for time-series and sensor data analysis. Have an interest in