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of the algorithm in the Thermal laboratory. Development and demonstration of an optimal maintenance schedule algorithm for reversible CO2 heat pumps (with and without ejector): (i) Use of the validated simulation
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
currently relies solely on the surgeon’s expertise [2]. Unlike scheduled orthopedic procedures, trauma surgery has seen little integration of artificial intelligence in preoperative planning. Currently
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grant objectives, and assisting with grant related reports. Managing collaborative relationships to ensure that the overall project is progressing together and on schedule. Developing and maintaining
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collaborative relationships to ensure that the overall project is progressing together and on schedule. Developing and maintaining machine learning software infrastructure for experiments, and coordinating
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according to scheduling algorithms, patients' medical history and established clinical and facility standards. Coordinate both procedures and ancillary visits within a specific period established for each
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Health. Complex Procedure Scheduling Duties Determine if ancillary appointments (pre-procedure clinic evaluations, pre-anesthesia testing appointments, etc.) are needed according to scheduling algorithms
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wellness programs and resources, and much more. Posted Job Title Senior Data Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist - Algorithmic Systems is
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on their expertise, successful candidates may be asked to teach: Introductory programming classes Core undergraduate CS classes such as: Human Computer Interaction, Database Applications, Algorithms and Data
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Scientist, Wharton Graduate Division Job Profile Title Job Description Summary The Senior Data Scientist – Algorithmic Systems is a key member of the Data Science team supporting the full-time, Executive, and
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(HPC) best practices, advanced mathematical research into novel algorithms, and the utilization of machine learning techniques for code acceleration and the development of reduced-order "surrogate