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Field
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presentations, and competitive grant submissions. Designs, performs, and troubleshoots experiments in tumor immunology using in vitro, ex vivo, and in vivo platforms, including immune cell functional assays, high
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, high quality clinical, preventive, and consultative health services to over 8,000 Princeton undergraduate and graduate students and their dependents, and occupational health services to Princeton
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co-author multiple high-impact peer-reviewed publications. Performs other duties as assigned. Required Qualifications: A Ph.D. in Geospatial Analytics, Agricultural Engineering, Hydrology
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on the research program, including literature review and data analysis. Collecting, managing, and analyzing relevant survey and administrative data. Conducting and publishing high-quality research and preparing
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algorithms Designing new algorithms and investigating their mathematical performance guarantees Participate in writing up the results and submission for scientific publication Collaborate with and mentor
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a unique opportunity to develop cutting-edge high-performance computing (HPC) that incorporate machine learning/artificial intelligence (ML/AI) techniques into visualizations, enhancing the efficiency
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Sciences Directorate, at Oak Ridge National Laboratory (ORNL). This position presents a unique opportunity to develop cutting-edge high-performance computing (HPC) and machine learning/artificial
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provides a unique opportunity to work at the interface of plant genomics, metagenome analysis, and computational systems biology, in collaboration with researchers at national laboratories (PNNL, NREL) and
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) has built an outstanding research program focused on the conversion of synthesis gas to fuel via Fischer-Tropsch Synthesis (FTS) and related catalytic processes. UK-CAER is seeking a highly motivated
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postdoctoral or more senior researcher interested in computational materials design and discovery. The successful candidate will develop new, openly accessible datasets and machine learning models for modeling