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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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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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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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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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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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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | about 23 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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basic experience in machine learning or computer vision libraries; familiarity with Vision-Language Models (e.g., CLIP, BLIP) or scene-graph inference is a plus. Key Competencies Strong software
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University of Tennessee Medical Center at Knoxville | Knoxville, Tennessee | United States | about 6 hours 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