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opportunities for analyses led by mentees. Statistical expertise is necessary, as is familiarity with bioinformatic pipelines and approaches for working with methylation data, or a willingness/ability to learn
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analysis results, including regression results, and spatial analysis, including visualizations and maps; ● Run power calculations for randomized controlled trials; ● Assist in reviewing, synthesizing, and
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will trigger a letter request email. Contact Information For more information, please visit the AKPIA website https://agakhan.fas.harvard.edu/academics-fellowships or contact Cecily Pollard, Program
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Details Title Postdoctoral Fellowship in Power and AI Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science/ Electrical Engineering
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science or related field Additional Qualifications: · Strong data analysis and statistical skills · Excellent written communication · Ability to work independently and manage project timelines · Field
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PhD, and benefits can be found at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective
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research at the intersection of artificial intelligence, power system engineering, and energy economics, with a focus on accelerating energy system transformation. The position will be housed in the Salata
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solver who wants to be part of a dynamic team. Learn more about the innovative work led by Dr. Don Ingber here: https://wyss.harvard.edu/technology/human-organs-on-chips/ What you’ll do: Independently
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reproducible analysis workflows Familiarity with computational models of vision and machine learning methods (for example CNNs, deep generative models, encoding models) is preferred but not required Ability
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email. Contact Information For more information, please visit the AKPIA website https://agakhan.fas.harvard.edu/academics-fellowships or contact Cecily Pollard, Program Administrator, at agakhan