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to student learning, research, health care, and service is seeking applicants specializing in clinical psychology for a tenure-track Assistant Professor position in the Department of Psychology, beginning
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Lab applies rigorous evaluation and modeling methods, including natural and field experiments, randomized controlled trials, behavioral economics, and machine learning, to help policymakers identify and
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artificial intelligence—especially deep learning—offers transformative potential for developing next-generation earth system models. Recent breakthroughs, such as neural network-based short-to-medium term
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engineeringEducation LevelPhD or equivalent Skills/Qualifications We are seeking a scientist with: Expertise in image-based biological tissue modeling and simulation Good command of deep learning Expertise in coding and
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modern programming languages Experience with data science, machine learning, statistical modeling, and real-time analysis frameworks Experience working within collaborative coding environments, version
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materials according to the Lambert–Beer law, thus enabling an accurate description of PEC device behavior. In parallel, the coupling between kMC and CFD simulations will be achieved through machine learning
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been established. This position will focus on the further development of various, machine learning and deep learning models to study molecular mechanisms and cellular phenotypes caused by the etiology
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Description Completion of doctoral thesis related to: Process and analyze experimental data. Develop predictive models using deep learning. Train, validate, and optimize neural networks (CNNs, etc.) applied
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and machine learning. Topics of interest in this area include, but are not limited to: natural language processing, large language models, graph learning, prompt engineering, knowledge graphs, knowledge
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California State University, San Bernardino | San Bernardino, California | United States | about 2 hours ago
at business location), Unit 15 - CSUEU - Student Assistants Work Study: Federal Work- Study Student Information: https://www.csusb.edu/financial-aid/prospective-current-students/federal-work-study/federal-work