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D. Kalashnikov et al, Nature Photonics 10, 98 (2016); A. Paterova et al, Science Advances 6(44), eabd0460 (2020); A. Paterova et al, ACS Photonics 9(6), 2151–2159 (2022)]. The project is related to quantum interferometry of correlated photon pairs and its application in broadband infrared microscopy and spectroscopy.
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PhD in Integrated Photonics, Opto-electronics, Materials Science, Physics or equivalent. Process metrology data taking, device / circuit performance data taking. Data analysis and documentation.
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Use your understanding of material science and electrochemical characterisation to analyse experimental data, which can be fed into the model. Masters or PhD/EngD level degree in a physical science or engineering discipline relevant to electrochemical cell research and development.
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Artificial Intelligence and Data Science Professor/Associate Professor/Assistant Professor. Applicants must have a doctorate degree in the Artificial Intelligence or Data Science field.
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Well versed with the industry trends, technology, and products in the areas of data migration, and master data management. Facilitate collaboration with IT, compliance, legal, security, and privacy teams to ensure data management practices are in alignment with regional and regulatory requirements.
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Develop a long-term vision for HPC, networking, and data capabilities necessary to catapult the advancement efforts in science, engineering, the humanities and other disciplines that rely on state-of-the-art technologies for progress.
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Engineer (B.Sc./B.Eng., M.Sc./M.Eng.) in Cybernetics, Control Engineering, Marine, Electronics, Instrumentation, Computer Science, etc. We are committed to meeting our customers' expectations with innovative and reliable solutions to their merchant marine, offshore, subsea, and oil & gas needs.
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Perform material science lab test and hands on operation laboratory analytical instruments e.g. Tof-SIMS and others such as LC-TOF, GPC, XPS, SEM-EDX. Work in a team that develops metrology and deploys technical solution to meet the products CTQ and reliability requirements of hard disc drive.
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Familiarity with cluster management tools like Bright, data processing frameworks (e.g., Apache Spark, Apache Beam), machine learning frameworks (e.g., TensorFlow, PyTorch), networking for HPC applications, containerization technologies (e.g., Docker, Kubernetes) and HPC scheduling.
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By joining us, you will have the opportunity to not only tackle the challenges of large scale distributed system across multi regions which generates huge amount of data from billions of users, but also the unique challenges from live streaming to provide low latency and high quality videos for different types of network connectivity even when the live event can go viral anytime to generate huge amount of traffic.
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In line with the organisation’s PPH goal, the DSA department aims to advance HPB’s analytics rigour and data science applications to maximise translational value of data-driven insights.
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Passionate about advertising, consumer behavior, and using data to drive client success, especially in the APAC region. Brainlabs is a digital media agency that is passionate about using data and technology to create marketing strategies that drive real business results for clients.
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Possess a minimum of 12 years of experience, with a strong preference for 15 years or more, in processing in the Oil/Gas industry, material science and metrology, different NDT (Non-Destructive Testing) technology and their applications, and knowledge in the engineering aspect of welding.
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Experience: 4+ years or more in a data science role with experience using large and complex data. - Expertise with data visualization applications such as Tableau, R Shiny, Looker.
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Validates the specifications, data sheets, drawings and documents with Project Engineering Manager and issues these for use in engineering design, in construction or for RFQ purposes, including prior approval from Client where such approvals are mandatory.
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data science jobs Title: management trainee Company: Saic in Emory, TX
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