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experience in computational modelling, reaction mechanisms, and machine learning for catalyst design and discovery. Nova is also a Principal Investigator at the Hylleraas Centre for Quantum Molecular Science
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ADNI studies The position is primarily focused on advanced statistical analysis and data integration. While machine learning and computational approaches may be applied where appropriate, the core
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topics include (a) AI, machine learning, and large language models for measurement challenges (e.g., for small-sample calibration or for accelerated algorithms), (b) identifying and investigating aberrant
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machine learning, spatial audio and audio-visual AI into groundbreaking creative technology. About you We seek a talented Research Fellow to investigate generative audio AI technology for production
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of lab-scale and pilot-scale experiments/operations with element of machine learning, sample characterizations, data analysis, and so on. Job Requirements: PhD degree in Materials Science, Polymer Science
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postgraduate qualification in Data Science / Computer Science (PhD preferred) Strong expertise in Python and/or R, SQL, data engineering and machine learning Experience with EMR systems (Cerner highly desirable
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 9 hours ago
miscategorization of subjects with potential DILI risk during regulatory review. Through this opportunity, you will cooperate in research and training activities related to computer modeling and statistical analyses
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | 1 day ago
extensive program is not computer-based learning and is led by the Clinical Educator for Perioperative Services. Position Qualification: BSN or ASN Current Registered Nurse licensure in Tennessee or new
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experience with management and strategy research, economic modelling and statistical analyses are essential. Familiarity with data mining, machine learning and computation techniques, especially in the context