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Position Description Applications are invited for a Postdoctoral Fellow to work with Professor David Clarke on oxide materials for high-temperature coatings and related materials. A PhD or equivalent in
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delivery using novel materials. Basic Qualifications PhD in chemical engineering, bioengineering, material science, chemistry, pharmaceutical sciences, or related fields. Additional Qualifications Experience
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or contact [email protected] . Basic Qualifications PhD in chemistry, chemical engineering, mechanical engineering, materials science, engineering, physics, or similar fields by the expected start
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-doctoral position in Applied Math. Fellow will conduct research applying machine learning technology to diverse problems in the sciences, aiming in particular at using traditional scientific computing code
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an environment that is diverse, inclusive and respectful. Learn more about our lab here: https://bioniclab.seas.harvard.edu/ We are recruiting fellows from diverse backgrounds interested in solving tough problems
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machine learning methods for computational materials physics and chemistry. Projects include: 1. Scientific software engineering of machine learning potentials for large scale molecular dynamics. We
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ability, passion for mentoring PhD students and undergraduate researchers Strong communication skills and presentation skills Special Instructions Required Documents: Curriculum Vitae Cover Letter (should
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systems, distributed optimization (and federated learning), and game theory. Postdoctoral fellow will be expected to publish results in top tier control and robotics journals (such as but not limited
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, inclusive, and positive environment where everyone does their best work in support of Harvard’s mission. Learn more about our commitment to diversity, inclusion, and belonging in our departmental diversity
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research interests. Basic Qualifications PhD in computational genomics or related field. Additional Qualifications Special Instructions Letters of recommendation are not required at the time of application