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The leadership for the NSF-Simons Center - The Southeast Center for Mathematics and Biology - is in the School of Math at Georgia Tech. Furthermore, the School is a key partner in several programs at Georgia Tech, including PhD programs in Bioinformatics, Quantitative Biosciences, Biostatistics, as well as Algorithms, Computation and Optimization, Computational Science and Engineering, and Machine Learning.
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Preferred Qualifications: Certificate or graduate work in educational technology, instructional design, or learning science is a plus. We encourage individuals with high school teaching experience, ed-tech experience from start-ups to larger organizations, and those with direct experience in educational publishing to apply, among others whose creativity and/or expertise will lead to success in working with a team to develop teaching and learning strategies for digital learning, primarily in high school AP and elective courses.
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Metas Solutions has an "immediate" opening for an experienced Data Scientist/Machine Learning Engineer to work Remotely. The Data Scientist/Machine Learning Engineer will have strong analytical skills and experience in using Posit and RStudio to join our team.
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For consideration, applicants must have his or her Bachelor's Degree in clinical laboratory science, biomedical science, medical technology or in a life/biological science in addition to either ASCP or AMT Certification as a Medical Technologist (MT)/ Medical Laboratory Scientist (MLS.
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Analysts will learn one or more software programs specific to their disciplines: AutoCAD, Civil 3D, Excel, Microstation, VISSIM, Open Roads, Synchro and/or GIS. Kimley-Horn is looking for Engineering graduates to join our Atlanta Midtown office in 2024.
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Cash App, Customer Operations team is looking for a Learning and Development Lead to support our Cash Customer Operations team (CCO). We ensure that learning and development are embedded in all areas of the CCO organization: training, talent development, leadership development, continual learning, and career pathing.
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Kilpatrick Townsend’s Electronics & Software Patent Prosecution team seeks a full-time USPTO-registered patent prosecution Attorney or Patent Agent experienced in preparing semiconductor processing patent applications.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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Moderate computer skills including knowledge of Medical Record Keeping, MacOS, Apple iOS, Microsoft Office, Google Docs. Experience with online based software Booker, Gusto, or Deputy is a plus.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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QUALIFICATIONS:Minimum education and experience required: Bachelor’s degree in Applied Computer Science, Computer Engineering, Computer Information Systems, Information Technology, or a related field of study plus 7 years of experience in the job offered or as Software Engineer, Senior Java Developer, Associate / Software Engineer, Consultant, or related occupation.
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We provide innovative and comprehensive services and solutions that span cloud; systems integration and application management; security; intelligent platform services; infrastructure services; software engineering services; data and artificial intelligence; and global delivery through our Advanced Technology Centers.
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Experience in machine learning methods (e.g. multivariate regression, feature engineering, random forests, XGBoost, elastic nets, hierarchical bayesian regression, unsupervised learning, clustering/segmentation)Key Skills: Data Science, AI/ML, SQL, R, Python, C.
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Minimum of 3 years of experience in a data science role, with a strong foundation in statistical analysis, predictive modeling, and machine learning. Master’s degree or higher in Data Science, Statistics, Computer Science, or a related quantitative field.
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BS/MS in Computer Science, Mathematics, Physics, Engineering, or proof of equivalent software engineering experience (PhD’s welcome) The ideal candidate is someone who is passionate about taking cutting edge research and technology to solve new problems, and enjoys working with the entire lifecycle of Machine Learning software.
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software engineering computer science machine learning jobs Title: engineer backend in Atlanta, GA
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