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Candidates with particular research emphasis and interests related to Computer Engineering, including areas such as digital logic and VLSI design, computer architecture and organization, embedded systems and Internet of Things (IoT), virtualization and operating systems, code generation and optimization, computer networks and data centers, electronic design automation, and robotics are of particular interest for one or more of these positions and thus are strongly encouraged to apply.
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Preferred Area of Study: Computer Science, Systems Engineering, Computer Information Systems. Preferred Area of Experience: Microsoft 365, Power Platform (PowerApps, Power Automate, Power Pages, Dataverse, Power Virtual Agents/Microsoft CoPilot), Fabric (Power Bi, OneLake, Factory, Synapse Data Warehouse, Synapse Data Engineering, Synapse Real-Time Analytics), SharePoint, Windows Server, Azure, DevOps, CI/CD Pipelines.
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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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The ideal candidate will have a strong background in systems engineering with a specific focus on Microsoft technologies, specifically Power Platform and Fabric. Develop and implement Data Loss Prevention (DLP) policies specifically for Fabric and Power Platform connectors to safeguard sensitive data and ensure compliance with legal and regulatory standards.
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The Data Center Critical Facilities Engineer will be responsible for Data Center Engineering within Lincoln Data Centers and colocation facilities, including risk management and mitigation, corrective and preventative maintenance of critical infrastructure, vendor management and metric reporting.
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The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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PhD in a field relevant to biomedical research (bioinformatics, biomedical engineering), or computer science (computer science, machine learning, artificial intelligence) or similar.
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Bachelor s degree (or foreign education equivalent) in Computer Science, Engineering, Information Technology, Information Systems, Mathematics, Physics, or a closely related field and three (3) years of experience as a Senior Data Engineer (or closely related occupation) designing, developing, testing, and implementing Snow Scripts and Snowflake Tasks to enterprise analytics data lake platform.
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Knowledge of the electrical and mechanical systems used in a data center environment, including Feeders, Transformers, Generators, Switchgear, UPS systems, ATS/STS units, PDU/PMM units, Air handling units, and CRAC units.
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Job Segment: Cloud, Embedded, Data Center, Manager, Engineer, Technology, Management, Engineering. Supermicro (SMCI) is a global leader in high-performance, high-efficiency server technology and innovation is a premier provider of end-to-end green computing solutions for HPC, Data Center, Cloud Computing, Enterprise IT, Hadoop/Big Data and Embedded Systems worldwide.
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B.S. in Electrical, Computer, or Chemical Engineering or Engineering Technology. Experienced, hands-on OSI PI engineer needed for ensuring our customers’ success by developing real time data and historian based solutions.
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Must be pursuing a Bachelor's degree in a Mechanical Engineering, computer science or mechatronics program. DPEA enables that data center which is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies-spanning software, processors, storage, I/O, and networking solutions-that fuel cloud, communications, enterprise, and government data centers around the world.
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MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
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Relevant experience must be in computer or information systems design/development, programming, information/cyber/network security, vulnerability analysis, penetration testing, computer forensics, information assurance , and/or systems engineering.
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Application Engineering experience with manufacturing management systems, such as Manufacturing Execution System (Preferrably Emerson Syncade and or Rockwell PharmaSuite), Data Historian (e.g. OSI PI ), LIMS, ERP etc.
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systems engineering computer data center jobs Title: program manager
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