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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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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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methods (e.g., AFM, Nano-IR, STM, SECCM, SICM, SECM), advanced light and electron microscopy, materials synthesis (e.g., conductive metal-organic frameworks, 2D/hierarchical structures, nanoparticles
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the appropriate use of statistical methods; • Gather and act on feedback and suggestions from faculty, principal investigators, and senior researchers; and • Quickly identify anomalies in results and conduct
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and Regenerative Biology has an exciting and broad multiomics program focused on brain aging. Approaches will include experimental and computational efforts across multiple labs at Harvard's Faculty
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is currently building and commissioning a network of calibrated multi-sensor observatory-class systems, and developing novel machine learning methods with the aim of collecting science-quality data
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Instructions: The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent on satisfactory progress. Start dates are flexible. To apply, please
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OEE. This position will require knowledge across multiple Learner Services functions including payment plan administration, cancellation processing, certificate issuing, and learner records
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, our impact is a direct factor of our ability to ship novel data. As such, IDI’s workflows resemble those of a product studio. Our projects are time-bound and scopes are driven by ambition within time
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topics is a plus but not required. Additional Qualifications Special Instructions The position is funded for multiple years, with an initial one-year appointment and the expectation of extension contingent