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NET, Full Stack Developer, Information Security, Developers, Data Science, UX/UI, Cybersecurity, Machine Learning, Python Programmers, IT Staffing, IT Recruiting, IT Jobs, IT Consulting, IT Recruiters, and UI UX.
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Bachelor's degree in a quantitative field (engineering, Economics, Math, Science, Finance, Statistics, computer science, electrical engineering, physics, Marketing Information Systems (MKIS), etc.
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Familiarity with other functional disciplines modeling, simulation, analysis, and testing techniques, methods, and related processes, e.g., structural, thermal, EEE / EMI / EMC, material science, components, analog / digital / power electronics design, etc.
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2+ years of industry experience in a computational area such as data science, computer science, machine learning, artificial intelligence, statistics, or graph algorithms. In this role, you will lead and contribute to new and ongoing research and development efforts that advance Epsilon's identity match abilities - leveraging data science, machine learning and other disciplines to create new data-driven capabilities for our real-time digital marketing business.
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Bachelor's Degree in Structural, Civil, Coastal or Environmental Engineering, Physics, Environmental Science, Computer Engineering or relevant area of study required. APTIM is seeking a motivated, energetic, and personable engineer with experience in vulnerability and risk assessments, complex data analysis and visualization, resilience planning, technical or grant writing, climate scenario analysis, and managing local, state and federal resilience projects.
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The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth.
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Qualifications Bachelor's degree in computer science or a related 6+ years of experience in Linux systems installation, operations, administration, and maintenance of physical and virtualized Servers 2+ years of experience in DevOps and using CICD pipeline software to deploy code Experience using configuration management tools such as Puppet, Chef, or Ansible and container tools such as Docker.
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The Medical Science Liaison (MSL) will establish and maintain relationships with leading researchers and clinicians, also known as key opinion leaders (KOLs). Johnson & Johnson is recruiting for a Pipeline Medical Science Liaison, Autoantibody TA based in the Central US region.
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Bachelor's degree in a technically rigorous domain such as Computer Science, Information Security, Engineering, Digital Forensics, etc. + Current hands-on experience in digital forensics (e.g. computer, network, mobile device forensics, and forensic data analysis, etc.
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Deep knowledge of machine learning / data science best practices. Experience: 7+ years data science / analytics / programming experience based on combination of industry and academic experience.
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IRC places a strong focus on hiring from our intern pool- if you are eager to break into international relations, political science, or are looking for nonprofit experience, this internship is for you.
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The Medical Science Liaison (MSL), is a field based scientific expert that strategically supports the scientific and business objectives of a designated therapeutic area across the product life cycle.
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Use your expertise in data science, machine learning, and computer science to lead research projects and recommend solutions to technology and business problems. Lead and individually contribute to data science and machine learning R&D projects.
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Good understanding of application and data security, AI/Gen AI, Machine Learning, or data science. Julia, MATLAB, Scala, LISP, Prolog, and JavaScript for various AI/ML applications, including data analysis, high-performance computing, enterprise-level applications, and web-based ML.
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Job title: Lead Azure Data Engineer / Architect. We are seeking a highly skilled Lead Azure Databricks Engineer with extensive experience in Databricks Delta Live Tables and Unity Catalog.
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science job Title: data engineer Company: Accenture Contractor Jobs in Dallas, TX
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