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circuit package assemblies. Perform epoxy die attachment using semi-automatic die placement machines. Conduct wedge and ball bonding using semi-automated wire bonding machines. Ensure precise alignment and
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research associate positions broadly in statistics and machine learning with Prof. Jason M. Klusowski (https://klusowski.princeton.edu ). The position is for one year with the possibility of reappointment
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accordance with HACCP policies Break down and store food items at the end of each day's final meal period Operate the dish machine and return clean dishes to the appropriate areas Watch for safety/sanitary
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development and application of novel algorithms and machine learning/AI techniques for extracting insights from biological data sets (genomics, proteomics, imaging, neuroscience), and related areas
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. Qualifications Essential Requirements Three (3) years minimum field experience with utility, industrial power plant operations, or military in the electrical field. Ability to read and understand electrical
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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
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Master's degree in Computer Science, Computational Science, Engineering, Mathematics, or a related field or post-doctoral candidate. Experience with machine learning techniques and their integration
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record food and equipment temperatures in accordance with HACCP policies Break down and store food items at the end of each day's final meal period Operate the dish machine and return clean dishes
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: Inspection: Inspects operating machines and equipment for conformance with operational standards. Confers with supervisor to resolve maintenance problems and recommend measures to improve operations and
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., or equivalent is required. Applicants should have training and a significant track record in one of the following areas: -computational biology-computer science-electrical or computer engineering-genomics