153 machine-learning-"https:" "https:" "https:" "https:" "https:" "https:" "UCL" positions at Oak Ridge National Laboratory in United States
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, control theory, data science, data driven methods, discrete mathematics, graph algorithms, high-performance computing, integral equations and nonlocal models, linear and multilinear algebra, machine
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strength of ORNL which is the U.S. Department of Energy’s largest Office of Science laboratory. ORNL is home to two user facilities in manufacturing – the Manufacturing Demonstration Facility (https
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to commit to ORNL’s Research Code of Conduct. Our full code of conduct and a statement by the Lab Director’s office can be found here: https://www.ornl.gov/content/research-integrity Basic Qualifications
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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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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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limited supervision, operate a variety of machine tools to inspect, calibrate, or produce precision parts and instruments. You will be responsible for applying knowledge of mechanics, mathematics, metal
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(PMI) Science Focus Area and the GPTgp (Generative Pretrained Transformer for Genomic Photosynthesis) project. This position focuses on developing machine learning pipelines, AI-driven scientific
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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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Requisition Id 15885 Overview: We are seeking a Postdoctoral Research Associate – Simulation and Machine Learning for Composite Manufacturing who will focus on developing physics-based simulation