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at least one modern programming language, e.g. Python, Javascript, Java, etc. Computer Science fundamentals in data structures, algorithm design, problem solving, and complexity analysis. Knowledge
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Our research The research focus of the Berg lab has been to combine quantitative approaches of mathematics and physics with experiments using electrophysiology, genetics, tissue clearing and other
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communication theory, signal processing, and wireless communications, • Extensive experience in physical (PHY) layer algorithm design and performance analysis, • Proven track record
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math and programming ideas into algorithms. The course uses instructor-led presentations and gamified exercises to teach core programming concepts, applicable across languages and environments. Students
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available under the following conditions: OBJECTIVES | FUNCTIONS Development and evaluation of machine unlearning algorithms for speech foundation models, including: - Selection and preparation of models and
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knowledge of VBA and Excel is preferred. Strong knowledge in areas of Computer Science that are relevant for financial databases and modeling, including data structures and algorithms. Excellent computer
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, Machine Learning, Data Science, Security and Privacy, Parallel and Distributed Computing, Deep Learning, Internet of Things (IoT), and Algorithms. Successful candidates will hold a joint appointment with
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leading the writing of research papers The ideal candidate should be able to conduct research work independently To learn more about the work this group does, check out the following link: https
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, and distributed algorithms and software development Faculty members teach and perform associated curriculum development, assessment, and accreditation support for core and elective courses in one
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University in St. Louis More Jobs from This Employer https://main.hercjobs.org/jobs/21736222/senior-scientist-genetics Return to Search Results