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Basic knowledge of digital manufacturing technologies such as digital twin, artificial intelligence, and machine learning, as well as cybersecurity guidelines and frameworks, including NIST and CIS.
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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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Professional registration as a geologist, engineering geologist, or geological/geotechnical engineer strongly desired. We are looking to add a full time Senior Geological Engineer to our Energy group.
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SimBioSys is a TechBio company deploying a combination of artificial intelligence, data science, and spatial biophysics to redefine precision medicine, transform patient care, and defeat cancer.
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We are looking for a Provider Business Development Associate to help us grow our industry-leading provider network and play a critical role in our success. We’ve been recognized by Harvard Business School and featured in TechCrunch, The Los Angeles Times, Washington Post, and Modern Healthcare.
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Job Title: Full Stack Software Engineer. You will closely collaborate with stakeholders to help build valuable products and features that support the Firm's business processes. These companies include SpaceX, Anduril, GoPuff, HackerOne, Cloud9, and others.
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The Engineer is responsible for the current technology in place (Okta Verify/SSO, Microsoft/Azure AD, CyberArk, etc) and ensuring successful operations, interoperability and general well-being.
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Senior Geological Engineer - ( 2400021O ) Senior Geological Engineer - ( 2400021O ) Masters degree in geology, engineering geology, geologic engineering, geotechnical engineering preferred. Bachelors degree in geology, engineering geology, geologic engineering, or geotechnical engineering is required.
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Business ecosystems, SaaS, infrastructure as a service (IaaS), ERP (i.e. SAP, Oracle), platform as a service (PaaS), APIs, Open data, Microservices, DevSecOps, Event-driven IT, Predictive analytics and AI/ML (Artificial Intelligence, Machine Learning), etc.
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The NA IT Security Manager directs the planning and implementation of enterprise IT systems, business operations, and facility defenses against security breaches and vulnerability issues. ·Lead strategic security planning to achieve business goals by prioritizing defense initiatives and coordinating the evaluation, deployment, and management of current and future security technologies using a risk-based assessment methodology.
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We are seeking a talented and motivated Machine Learning Engineer to join our team. Proven experience as a Machine Learning Engineer or similar role. The ideal candidate will have a strong background in machine learning, data science, and a keen interest in cryptocurrency and blockchain technology.
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Demonstration of Emotional Intelligence and professional maturity. The SJP Online Adjunct Faculty leverages industry knowledge and best practices to promote the mission and vision of the Social Justice Practicum program and the institution.
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Audio Visual Design Engineer. The Design Engineer works with their Senior Manager, the Technical Operations Directors on resource assignment. The Design Engineer (DE) is a member of the core team for each project.
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You will work closely across a distributed security community to evolve and advance cyber threat information collection and analysis processes, develop technical solutions that empower threat intelligence analysts with actionable and relevant threat information, and serve as trusted advisor and partner in shaping cybersecurity operational practices and strategic initiatives based on cyber threat intelligence.
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Experience in host-microbiome interaction modeling and/or machine learning and Artificial Intelligence in analysis of HTP biological data a plus. PreferredA demonstrated interest in creating a collaborative research environment, prior experience in multi-institution collaborations or consortia, applications of machine learning and artificial intelligence in biomedical research, and a robust publication history is preferred.
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intelligence job Title: business intelligence engineer Company: Randstad in Chicago, IL
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