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Proficiency in engineering software and databases (e.g., Python, R, MATLAB), and/or machine learning tools for the solar cell project. This role offers the opportunity to contribute to one of two research projects: the synthesis of efficient metal-layered double hydroxides using ammonium-based compounds for energy storage applications in collaboration with Dr. Luyin Lin's group at NTUT, or the inverse design of perovskite solar cells using physics-informed machine learning techniques.
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Areas of work include Sensing Hardware Engineering, Sensing ASIC Architecture, Algorithm Engineering, Machine Learning Engineering, Deep Learning, Firmware Engineering, Software Engineering, Quality Assurance Engineering, and User Studies and Human Factors Engineering.
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Data Science Enabled Engineering: Development of data-science (DS) methods and data-driven algorithms with applications to Advanced Manufacturing, Robotics, Artificial Intelligence (AI)- and Machine Learning (ML)-based Engineering Design and Optimization, Integrated Computational Manufacturing and Material Engineering (ICME.
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Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR.
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There are various disciplines involved in Enterprise Data & Analytics, including: data source identification and analysis, data engineering, data visualization & data science/machine learning.
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Degree: Bachelor's or Master's degree in a relevant discipline (e.g., Computer Science, Data Sciences, Decision Science, Engineering, Information Systems, Information Technology, Internet of Things, Applied Math, Machine Learning, Quantum, or other technology majors.
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BS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering. MS degree or equivalent experience in Systems Engineering, Electrical Engineering, Aerospace Engineering, Mechanical Engineering.
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Emerging Technologies Group: Covers a wide range of work including Internet of Things (IoT) penetration testing, intelligent automation, artificial intelligence/machine learning and quantum computing.
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Keyword Searchstring: Integration Engineer, Integration Technician, Industrial Engineer, Process Engineer, Production Engineering, Process Engineering, Time Studies, Lean Manufacturing, Aerospace Engineer, Assembler, Production, Mechanical, Mechanics, Machine Operations.
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The selected candidate will apply plasma physics simulations of the tokamak core and pedestal using high performance computing resources and machine learning accelerated architecture. Machine learning techniques and statistical methods will be leveraged to build fast surrogate models that accelerate predictions of tokamak plasma scenarios.
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Provide mechanical engineering design expertise in the design and development of Aprecia's next generation additive manufacturing technology. Electrical and Controls engineering experience or other machine design/development relevant cross disciplinary skillset highly desirable.
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Mechanical Engineering Co-op/ Interns at SDC are passionate, hardworking individuals that have a strong engineering education background and want to learn how to use machine design fundamentals and integrate them with out-of-the-box, creative ideas to create unique automated machines.
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Provides a broad mechanical engineering design background and performs mechanical engineering analysis using commercial finite element analysis tools including structural, dynamic including modal, vibrations, & thermal analysis.
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Must have any experience with each of the following: (1) Data Science, Artificial Intelligence, Big Data, and Machine Learning; (2) Azure Databricks, allowing for creating scalable and collaborative data analytics workflows using Apache Spark; (3) working with React JS, Angular JS, and Vue JS frameworks, including HTML and JavaScript, to develop interactive web applications; and in the following programming languages (Python, Java, C.
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Bachelor's degree in Computer Engineering, Computer Science, Electrical Engineering, Software Engineering, Mechanical Engineering, Optical Science, Robotics, or related STEM field.
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machine learning mechanical engineering jobs Title: research intern
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