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experts, and translate them into efficient and maintainable code. This requires knowledge in (or the ability to learn) macroeconomics, a good foundation in (optimization) algorithms, and the ability
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machine learning algorithms for extracting movement and contextual data from multimodal sources including videos, biosensor recordings, and text. Job Description Job Responsibilities Perform data annotation
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from specialized human movement datasets. Assist in identifying available datasets, performing data annotation, developing and applying machine learning algorithms for extracting movement and contextual
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, and administering the programs' academic courses. Responsibilities The Policy Coordinator will provide instrumental support for multiple facets of Penn LDI's policy-focused activities. These duties
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to learn) macroeconomics, a good foundation in (optimization) algorithms, and the ability to effectively parallelize code, in addition to proficiency in Python and general software engineering skills
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-authorship. Additional details of these responsibilities are provided below: Coordinate the conduct of complex (i.e., multi-drug regimens, high toxicity potential, multiple random assignments
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-up processes for industry-sponsored and Investigator-initiated trials; independently manage the conduct of complex (i.e., multi-drug regimens, high toxicity potential, multiple random assignments
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independently and as a team leader to manage multiple priorities at once, including projects with complex and long-range project scope. Effective supervision, administrative, and financial management skills. Deep
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. Oversees and manages multiple projects; anticipates and tracks critical dates, events and organizational issues for the center director. Independently prioritizes, plans, coordinates and oversees logistics
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of events and communications that support long-term program visibility and community-building. Provide guidance to fellowship applicants and coordinate selection processes across multiple programs. Interpret