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Decision Intelligence for Supply Chain and Operations Optimization. The successful candidate will contribute to cutting-edge research at the intersection of Statistical Machine Learning and Generative
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publication record. • Experience with VA and NIH-funded research projects is highly desirable. • Proficiency in advanced data analytics, machine learning, and statistical modeling. • Excellent communication and
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protocols. High degree of computer literacy. Excellent organization skills and ability to prioritize a variety of tasks. Careful attention to detail. Ability to demonstrate professionalism and respect
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Machine Learning Problems > Constantly questions finance/trading data and stays motivated to seek answers despite most often proving that there is no correlation or signal > Experience in setup of research
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The University of Alabama, Department of Electrical and Computer Engineering | United States | 2 months ago
. Nathan Jeong shjeong@eng.ua.eduAdvanced Signal Processing and Machine Learning Algorithms for Autonomous Vehicles, Prof. Shunqiao Sun ssun21@eng.ua.eduTransportation Electrification and Power Distribution
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at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate will contribute to projects focused on developing advanced machine learning models to quantify
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of peptide design and chemistry, computational methods (machine learning, deep learning, genetic algorithms), microbiology, synthetic biology, and related areas essential to developing novel
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candidate will play a key role in designing and implementing innovative solutions at the intersection of sensor data collection, machine learning, and real-time decision-making. Specifically, the candidate
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in programming (e.g., Python), data analysis, and machine learning, and a curiosity about applying computational methods to diverse domains such as biology, psychology, and medicine. Candidates
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to support a diverse and inclusive university in which to work, study, teach, research and serve. No person shall be denied employment on the basis of any legally protected status or subjected to prohibited