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Application Type: Postdoctoral Location: Cambridge, Massachusetts 02138, United States of America Subject Area: Statistics / Machine Learning Appl Deadline: none (posted 2024/10/18) Description: Apply
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single synthetic program of computational geometry. Specific interests include morphology, design topology, discrete differential geometry, packings, and machine learning methods for unstructured geometric
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prepares reports as necessary, enters daily information in computer. Maintains chemical treatment program and enters information into computer. Cleans and maintains plant and assigned boiler facilities
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. These include: Karen Lee Bar-Sinai: Bar-Sinai's group investigates the interaction between machines, landscapes, materials, and environments with the aim of reshaping how we design and construct with found matter
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limited day-to-day supervision. Ability to handle complex and confidential information with discretion. Proficiency using a variety of computer software and systems, including Harvard Financial Systems
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-day branch operations. Typical responsibilities: Assist Branch Manager; with training, coaching, and mentoring staff at all levels. Coordinate with the Learning and Development department to ensure
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Development: Works with the Course Head Instructor(s) to revise course syllabus, course schedule, learning objectives, and reading assignments; Works with the Director of Introductory Undergraduate Laboratories
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(relevant coursework may count towards experience). Histology and microscopy skills. Skills in applicable computer technologies, including Microsoft Office, Adobe Photoshop, and Illustrator. Effective written
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of biomechanics and computer vision to document the wingbeat frequencies and phototactic behaviors of diverse insects under diverse contexts. Candidates will be expected to plan and lead behavioral experiments
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of two years supervisory experience in commercial food service or hospitality industry. Must possess basic computer skills and have the ability to learn various business applications. Must have basic math