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Job Description The Quantum Information and Integrated Nanosystems Group seeks an engineering assistant to aid in the development of next-generation photonic integrated circuit (PIC) devices and systems, especially those for trapped-ion based quantum computing and sensing.
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The ideal candidate has a machine learning background, with previous experience building large-scale generative models, complex pre-processing pipelines, and comprehensive benchmarks to support scientific tasks.
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Ensure that respect for diversity, equity, and inclusion, social-emotional learning, and academic excellence are emphasized as core values of the School. We welcome candidates who will add to the diversity of our community and who have demonstrated a commitment to diversity, equity, and inclusion in their teaching and learning.
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The ideal candidate should have an outstanding scientific reputation in the field of machine learning research for computational biology and a demonstrated passion for solving biological problems relevant to drug discovery.
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Continuous motion machinery experience (such as bottling machinery, razor blade assembly, or batteries) Nice to have: Experience with Solid Works FEA Education: Bachelor of Science degree in Mechanical Engineering.
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Implementing and evolving our educational approach, which is rooted in social-emotional learning, STEAM (science, technology, engineering, art, and mathematics) curriculum, and nature-based learning.
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PREFERRED: bachelor’s degree in an engineering discipline; knowledge of labor relations and conflict resolution; and Massachusetts’ refrigeration technician license, Massachusetts’ oil burner technician license, and/or universal refrigerant recovery certificate.
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Applicable Education and Professional Accreditation: Degree in one of the following disciplines: Science, Technology, Engineering, Math, or a related technical discipline Certification(s) in one or more of the following disciplines: Solaris administration, Red Hat, VMWare, Certified Information Systems Security Professional (CISSP); CompTIA Security; Linux Professional Institute Certification Any prior military experience is a plus.
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Department Summary: MITRE Lab’s Emerging Engineering and Physical Sciences Department is seeking a senior engineer with expertise in battery technologies to work in a dynamic analytical and systems engineering environment focused on solving our customers energy technology and resilience challenges.
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Strategic business development and client networking with the aim to grow a broad range of science and engineering technical services globally in the water resources arena. We are committed to engaging multidisciplinary teams of science, engineering, and regulatory experts to empower our clients with solutions that create a safer, healthier, more sustainable world.
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You will be responsible for designing, developing, and integrating core applications for CAD geometry preprocessing, including feature detection, slicing, layer generation, tile position generation, tile sequencing, engineering analysis, print process simulation, support generation, optimization and generative design for area printing, and machine learning / AI integration.
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PhD in Computer Science, Machine Learning, Computer Engineering, Applied Mathematics, Electrical Engineering or related fields. We are committed to building world-class applied science and engineering teams and continue our industry leading capabilities with breakthrough product experiences and scalable, high-performance AI infrastructure.
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Job Title: Quality Systems Engineering Manager. Experience in semiconductor or electronics manufacturing industry in the functional areas like Quality Management Systems and audits.
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Bruker offers differentiated, high-value life science and diagnostics systems and solutions in preclinical imaging, clinical phenomics research, proteomics and multiomics, spatial and single-cell biology, functional structural and condensate biology, as well as in clinical microbiology and molecular diagnostics.
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Degree in computer science, data science, software engineering, computational chemistry or other fields with relevant experience. Lead development and productionize cloud-based machine learning pipelines for small molecule discovery problems, including property prediction, target-ligand interaction prediction, and toxicology screening.
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machine learning computer science systems engineering equity and inclusion jobs Title: engineering in Lexington, MA
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