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of machine-learning motivated bifurcation theory, specifically on learning and predicting the chaotic behavior of large-scale ordinary differential equations. The selected candidate will work with a faculty
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to begin on or after August 1, 2024. The position will focus on Ab Initio Molecular Dynamics (AIMD) to study polymer electrolytes, with a special interest in machine learning accelerated methods
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to machine learning modeling on Alzheimer's disease. The selected candidate will employ machine learning techniques with differential equations. Review of applications will begin immediately and continue
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REQUIREMENTS: The Pennsylvania State University, Information Sciences and Technology is seeking to hire a student for part-time research developing statistical and machine learning methods for the analysis
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of chemical adaptation in pests and pollinators. We are seeking a motivated individual with good communication and written skills, a passion for learning, and the ability to solve problems independently in a
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useful, attractive, and functionally polished scientific web-based resources for science and society. The applicant will learn histology while exploring the existing scope of virtual slide atlases (see
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understandings of community norms and learn from each other. Findings from this research activity will aid the main award's activities in developing deeper insights into how punished users and the rest
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Computing (SNeC) Lab, invites applications for a Postdoctoral Scholar position. The successful candidate will be expected to conduct research at the intersection of networking, optimization, and learning
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to learn various basic and advanced laboratory skills in plant and microbiological sciences. This could lead to more independent research opportunities. For more information contact Dr. Liana Burghardt
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REQUIREMENTS: Penn State's College of Engineering seeks to hire a research assistant. The student will work on research problems related to large-scale machine learning in resource-constrained environment