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Mechanical Analysis Engineer with Machine Learning. · Ph. D. in Mechanical Engineering, Materials Science/Engineering, Civil Engineering, Aerospace Engineering or equivalent, with 1 or more years of work experience after the PhD degree.
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Argonne’s Leadership Computing Facility (ALCF) and Mathematics and Computer Science Division (MCS) is looking for a Postdoctoral appointee working at the intersection of scientific machine learning SciML and large-scale simulation codes.
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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. Sight and Sound play a large role in our day-to-day experiences.
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Bachelor’s degree in Mechatronics, Electro-Mechanical Engineering, Computer Engineering, Electrical Engineering or equivalent; or Associate’s degree in Electrical Engineering, Computer Science; or equivalent with experience will be considered.
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In our Data science track we prepare you to get job as one of the following: Python developer, a data analyst, data visualization developer, a statistician, a machine learning engineer or a data scientist.
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Investigate & solve problems relating to software enabled business function modernization, hosting services such as infrastructure, enterprise managed services, Robotic Process Automation (RPA), Machine Learning (ML), Artificial Intelligence (AI), data support to the tactical edge, and optimizations of commercial cloud hosted systems.
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You will have a BS, MS, or PhD degree in the physical sciences (e.g. Chemistry, Physics, Chemical Engineering) or quantitative field ( e.g. Computer Science, Statistics, Applied Mathematics) or equivalent industry research experience.
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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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A Mechanical Engineering Student with experience in Autodesk Inventor and AutoCAD is a plus. An Electrical Engineering student with programming experience with Siemens and/or Allen Bradley PLC software, and experience in AutoCAD Electrical is a plus.
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Qualifications We DesireMaster’s degree in Computational Biology, Computational Bioengineering, Machine Learning, Statistics, Computer Science, Mathematics, or a related field.
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We specialize in Computer Network Operations (CNO), embedded development, software engineering, cloud engineering, Artificial Intelligence and Machine Learning (AI/ML), DevOps support, systems engineering and more.
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Statistics, operations research, bioinformatics, economics, computational biology, computer science, mathematics, physics, electrical engineering, industrial engineering.
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Option 1: Bachelor's degree in computer science, computer engineering, computer information systems, software engineering, or related area and 2 years' experience in software engineering or related area.
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The department’s research portfolio is thriving, with faculty actively engaged in research in a diverse range of fields such as bioengineering, communications and networking, computer engineering, controls and robotics, cyber-physical systems, cyber security, digital forensics, machine learning, nanoelectronics, power systems, signal processing, and space-based systems.
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You will support complex system development leveraging the latest technologies in areas such as hypersonic weapons, unmanned systems, advanced manufacturing, and supply chain logistics including a focus on electrical, mechanical, aerospace engineering and computer science.
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machine learning software engineer a plus computer science mechanical engineering jobs
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