164 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" positions at Oak Ridge National Laboratory
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network, application, and/or security architecture and design. Familiarity with common protocols such as: DNS, DHCP, LDAP, SNMP, SMTP, HTTP, SSL. Special Requirement: This position requires the ability
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tools such as Puppet or Ansible. Experience in network, application, and/or security architecture and design. Familiarity with common protocols such as: DNS, DHCP, LDAP, SNMP, SMTP, HTTP, SSL. Special
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, JAX etc.) Two or more years of experience in applying machine learning methods for instrument control, such as on a microscope, or on a nanomaterials synthesis platform resulting in publishable
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to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details. For more information about our benefits, working here, and living here, visit the “About” tab at https://jobs.ornl.gov
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work to exciting research in multi-disciplinary domains alongside globally recognized experts. You will bring creative thinking, teamwork, and machine learning skills to bear as you develop new methods
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the “About” tab at https://jobs.ornl.gov. This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired. We accept Word (.doc, .docx
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advanced many-body methods, high-performance computing, and machine learning approaches. The successful candidate will play a leading role in developing computational methods and high-performance algorithms
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physics (HEP) detectors, neuromorphic computing, FPGA/ASIC design, and machine learning for edge processing. The successful candidate will work with a multi-institutional and multi-disciplinary team
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computational physics, computational materials, and machine learning and artificial intelligence, using the DOE’s leadership class computing facilities. This position will utilize methods such as finite elements
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Analysis and Machine Learning Group. This group focuses on scientific computing with a strong emphasis on scientific machine learning and data analysis. We are specifically interested in applicants with