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Relevant data science skills TensorFlow Keras PyTorch Python Numpy Panda What You Will Be Doing Tech Breakdown · 90% Machine Learning / Data Science · 10% Other data Daily Responsibilities · 80% Hands On · 20% Team Collaboration The Offer Stock Options available You will receive the following benefits: One of the most interesting aspects of working at a startup company is gaining equity in the company, which means our success is your success.
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The Scalable Engineering Applications (SEA) Group in the Computational Sciences and Engineering Division at Oak Ridge National Laboratory (ORNL) is seeking a R&D Associate Staff Member with computational science expertise in machine learning and high-performance computing to help develop high-fidelity computational tools that are used for large-scale, physics-based simulations of fusion energy systems in partnership with the University of Tennessee-Oak Ridge Innovation Institute (UT-ORII.
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You will deploy and deliver technical solutions at the intersection of computational chemistry and machine learning, supporting research directions in molecular design across broader gRED and Roche.
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Experience with Infrastructure as code: Terraform etcSkills Preferred:Master focused in Computer Science / Machine Learning or related field • Experience working with Google Cloud platform(GCP) – specifically Google Kubernetes engine, Terraform, and infrastructure • Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
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Skills and Experience: Required: Active TS/SCI Security Clearance Bachelor’s degree or higher in Systems Engineering or in a related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or related equivalent additional experience.
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Machine learning will cover everything from data science, Artificial intelligence, business analytics, deep learning, and computer science. In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Difference between Machine learning, Artificial Intelligence and Deep learning. Artificial Intelligence and Machine learning. Under this program, we will make you stand out from the rest of the jobseekers by offering Skill enhancement training on the technologies in-demand including time management skills, study skills, test-taking skills, and learning strategies after which we can assist candidates in getting jobs as software programmers / Java Programmers / Data scientists / Machine learning engineers / Data analysts.
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What we offer: Capital One Developer Academy (CODA) is a unique, intensive six-month training program that prepares individuals from analytical and non-Computer Science backgrounds for a Software Engineering career at Capital One. It’s a program that equips you for the future and helps you build your career in tech.
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Desired Qualifications: Doctorate degree in Systems Engineering or in a related hard science STEM field such as, engineering, physics, mathematics, operations research, Computer Engineering, Information Technology, Management Information Systems, Geographic Information Systems, or Geodetic Sciences or in project management or engineering management.
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Master's degree in Systems Engineering or in related technical or scientific fields such as Engineering, Physics, Mathematics, Operations Research, Engineering Management, Computer Science, Information Technology, Management Information Systems, or related STEM degree program.
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Python or related languagePREFERRED QUALIFICATIONS- Experience building complex software systems that have been successfully delivered to customers, especially involving deep learning, machine learning and computer vision.
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The Department of Information Sciences and Technology (IST) has 44 full-time faculty members with research foci in cybersecurity, data mining and machine learning, natural language processing, human-centered computing, and computing and engineering education.
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Taxation, Accounting, Finance, Quantitative Finance, Real Estate, Hospitality, Business Analytics, Computer and Information Science, Computer Engineering, Computer Systems Analysis, Information Technology, Management Information Systems.
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Guardian School Security Systems is seeking a highly skilled and motivated Research Scientist in Physics and Computer Engineering to join our dynamic team in Minneapolis, MN. In this on-site role, you will collaborate with scientists, professors, and engineers across various disciplines, including hardware, RF, and mechanical engineering.
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We develop cutting edge sensors and mission systems, high bandwidth communication systems, large-scale simulation systems, space and satellite systems, avionics virtual machines as part of high fidelity digital twins that will improve the future of software development, airplane and flight controls, cyber security solutions, artificial intelligence, machine learning, and much more.
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machine learning computer science systems engineering equity and jobs Title: engineering in Anoka, Minnesota
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