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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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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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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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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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Masters/PhD in Electrical Engineering, Materials Science and Engineering, Chemical Engineering, Chemistry, Physics, Microelectronics Engineering, or closely related fields are welcome to apply.
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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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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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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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Bachelor’s Degree/Masters Degree in Computer Science/Data Analytics or similar technology field. and their data quality management features. Experience using one or more of AWS / Azure / GCP data and analytics services in combination with custom solutions - Spark, Azure Data Lake, Databricks, Snowflake, HDInsights, SQL DW, DocumentDB, Glue, Athena, Elastic Pool etc.
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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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Have a degree in engineering and science disciplines with minimum 3 years’ experience in wafer fabrication (fabs). Supporting fab manufacturing system (WSO) Integration and automation activities with IT (DTIT) team in line with Process control and quality requirements, which include ST system integration pertaining to systems, data and tools related to operational and manufacturing needs.
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Responsible for critical operations function management and effective daily leadership and administration of a portfolio of data centers critical operations and 24×7 engineering team with the objectives of safely, efficiently, and reliably operating, and maintaining the critical engineering infrastructure, systems, and equipment in a cost-effective manner.
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Strong ambition for the data department, full of progression opportunities (technical, management). You have a good knowledge of python, you are really interested in the command line *nix, you are familiar or have already used cloud technologies such as GCP or AWS, you have already used big data technologies like Flink, Spark, or Beam and Docker (K8S is an asset.
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Perform Control system refurbishment, upgrading and/or Control expansion projects not limited to Programmable Logic Controller (PLC), Supervisory Control and Data Acquisition (SCADA), Life Safety Systems (Gas monitoring), Instrumentations, IoT / SMART projects.
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Develop and implement tailored Project Control concepts for data center construction, ensuring precise cost and document control. Minimum 10 years relevant cost control experience in data centers, hi-tech and similar large construction.
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data science jobs Title: management trainee Company: Parexel in Emory, TX
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