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. Cross-Disciplinary Fellowships (CDF) are for applicants with a Ph.D. from outside the life sciences (e.g. in physics, chemistry, mathematics, engineering or computer sciences), who have not worked in
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work well within multidisciplinary teams. A strong publication track record in high-quality international journals or industry experience in using Shima Seiki WholeGarment machine would be an asset
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to teach courses in Greek and/or Latin language and literature at all undergraduate levels and to offer lecture courses in classical literature, world mythology, and culture in translation. The Fellow will
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research program to develop next-generation sensor devices and systems for human-machine interactions. Qualifications PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines. More
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in all core areas of the undergraduate curriculum, we particularly welcome applicants who are happy to teach in the areas of Family and/or Medical Law or Company Law. Candidates should have a PhD in
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to exploit in their projects. Characterization of the alfalfa collection can aid in effective management of this important resource while improving and promoting its use by stakeholders. Learning Objectives
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Postdoctoral Fellow - Materials Chemistry, Texas Materials Institute, Cockrell School of Engineering
or parallel reactors Collaborate with computational scientists to integrate machine-learning models for closed-loop materials discovery Collaborate with companion postdocs on functional materials
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lives. With a rich tradition rooted in Jewish thought and heritage, YU fosters a dynamic learning environment across its undergraduate, graduate, and professional schools. Our mission is to cultivate
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, or comparable environment. Strong computer skills, including experience using relational databases, collection management software, and electronic library resources. Experience with digital photography
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Corporate Laboratory is seeking to hire a Research Fellow. The selected candidate will innovate research in advanced materials. Key Responsibilities: Work on AI-driven techniques such as machine learning and