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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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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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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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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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remote sensing of atmospheric composition. Additional Qualifications Experience with machine learning is a plus. Special Instructions Contact Information Daniel J. Varon Contact Email danielvaron
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analysis), and flow cytometry. Toxicology and immunology expertise would be preferred. A PhD, three references, and a CV/ biosketch are required. Additional Qualifications Toxicology and immunology expertise
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postdoctoral fellow in Professor Susan Murphy’s Statistical Reinforcement Learning Group. Our research concerns sequential decision-making in digital health, including experimental design and reinforcement
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for employment without regard to race, color, sex, gender identity, sexual orientation, religion, creed, national origin, ancestry, age, protected veteran status, disability, genetic information, military service