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emission of a hydrogen plasma. Extend the quantum computing algorithm to a time-dependent system. Formulate the quantum scattering problem of electron impact ionization and excitation in a hydrogen and
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team founded in 2019. About the Department: The Department of Biological Sciences offers two Ph.D. tracks (Bioscience and Ecology and Evolutionary Biology) and has over 100 graduate students and over
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anticipated include imaging phantom-based evaluation of quantitative SPECT/CT; reconstruction algorithm development; establishing a secondary standards laboratory for unsealed source metrology through gamma
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team founded in 2019. About the Department: The Department of Biological Sciences offers two Ph.D. tracks (Bioscience and Ecology and Evolutionary Biology) and has over 100 graduate students and over
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team founded in 2019. About the Department: The Department of Biological Sciences offers two Ph.D. tracks (Bioscience and Ecology and Evolutionary Biology) and has over 100 graduate students and over
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), physics-informed generative modeling and representation learning, domain adaptation, ML-assisted lattice field theory, and quantum algorithms and Hamiltonian simulation for high-energy physics, etc
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preprocessing IoMT network traffic datasets. Implement and evaluate machine learning algorithms (e.g., logistic regression, SVM, random forest) for intrusion detection. Develop prototype software tools (e.g
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modelling. Experience in developing and using innovative tools and methods, algorithms, computer programming, and GNSS/Satellite data. Knowledge of programming language, including experience in developing
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join a growing, interdisciplinary team whose projects span laboratory-level and nationally significant DOE missions. Essential Duties and Responsibilities Develop novel machine learning algorithms and
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and Saeys teams. In this research project you will develop and apply algorithms to link clinical phenotypes of metastasis to molecular phenotypes in mouse models. It is known that metastases exhibit