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Deep understanding: of digital forensics; insider threat; maintaining chain of custody for digital evidence; hands-on experience with modern SIEM/SOAR/UEBA tools. Deep understanding: of digital forensics; insider threat; maintaining chain of custody for digital evidence; hands-on experience with modern SIEM/SOAR/UEBA tools.
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Beam line control and data acquisition software such as EPICS, SPEC, or ICS. Hands-on with X-ray optics and opto-electro-mechanical systems. To be successful in this position you will bring:Bachelor’s degree (in chemistry, physics, engineering or related field) and 2 years’ experience in a scientific, engineering or technical field including: Hands-on with X-ray microscopy and/or hard X-ray spectroscopy synchrotron radiation research instrumentation.
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Strong hands-on experience with the following tools and frameworks, which will be an integral part of day-to-day work: Jenkins, Jenkins Shared Libraries, Gitlab CI, Git, Yocto Linux, Artifactory, Docker, CMake, Conan, Azure DevOps, AWS, Coverity, Prometheus, Ansible, Terraform (terra grunt.
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Education: BS/MS (or equivalent) in molecular biology, biochemistry, biology or related field with 1+ year(s) of hands-on NGS experience. Hands-on experience to operate automated liquid handling platforms.
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Job Description:An individual with hands-on technical skills and experience in a broad range of mainframe infrastructure software. Possess, in principle, an understanding of the major subsystems such as JES, CICS, MQ series, DB2, IMS, Datacom, and IDMS. Possess, in principle, an understanding of enterprise security managers such as ACF2, TSS, and RACF.Acts as a consultant in studying and recommending actions on various technical areas regarding infrastructure management, providing guidance to customer management and technical resources.
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Must have hands-on experience in developing applications and customizations in Teamcenter PLM environment. Hands-on expertise in configuring Tiles, Workspaces, themes, stylesheets index configurations, and search configurations to optimize user experience and functionality.
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Haus is a first of its kind decision science platform for the new digital privacy paradigm where data sharing and PII is restricted. Haus is working with well known brands like FanDuel, Sonos, and Hims & Hers, and has seen more than 30x ROI by running experiments and helping brands make more profitable decisions.
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We are looking for somebody who enjoys all aspects of organic horticulture, native landscapes strategically hands-on in a gardening position. Horticulturists are responsible for garden maintenance of native and landscapes to perform: natural pruning, habitat management and invasive species control, light repair of irrigation systems, monitor wildlife, pest and diseases and interacting with the public in the gardens.
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5+ years of hands-on experience developing a distributed data processing platform with Hadoop, Hive or Spark, Airflow or a workflow orchestration solution are required. 5+ years of hands-on experience with developing data warehouse solutions and data products.
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Hands-on experience with ELISA, MSD, cell-based assays or equivalent assays. As a key member of our team, you will ideally have an immunology background and experience with bioanalytical assays for pharmacokinetic, anti-drug antibody, drug potency, and biomarker testing.
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Solid background in NLP or speech recognition and analytics, personalization/recommendation and hands-on experience and solid understanding of machine learning and deep learning methods. Your expertise in Deep Learning and Large Language Models, coupled with hands-on implementation experience, strong analytical thinking, a deep desire to learn, and high motivation, will be crucial for this role.
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The incumbent should have hands-on skills and experiences in implementing and executing the programming and project standards to support in production or validation of CDISC SDTM, ADaM datasets, and Tables, Listings, Figures for clinical study reports, ISS, or ISE for assigned projects.
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Interest or experience in hands-on biomechanical large animal experiments. Background: The Camarillo Lab in the Stanford University Departments of Bioengineering, Mechanical Engineering, and Neurosurgery is hiring a postdoctoral position to advance our understanding of the mechanisms of mild traumatic brain injury.
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Hands-on experience with a basic understanding of engineering principles, RF/microwave concepts, vacuum science/products, materials like metals and ceramics and process engineering, manufacturing science, etc.
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Broad familiarity and preferably hands-on experience implementing state of the art algorithms in one or more of the following areas: computer vision, deep learning, motion planning, controls, robot autonomy software and hardware.
$215,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago
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