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need experience in a receiving environment, knowledge of DOT regulations, strong communication skills, and must possess computer skills necessary to create, sort, and manage e-mail and to utilize
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development spanning areas such as optimization, Fourier analysis, numerical linear algebra, statistics, machine learning, and high-performance computing for one or more of the following: (1) reconstruction
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degree of tact and professionalism. Ability to perform simple mathematical calculations using spreadsheets, such as calculating percentages and sums. Intermediate computer proficiency, including
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in materials or low temperature physics. Demonstrated knowledge of Python or another major programming language for data analysis and familiarity with machine learning approaches for data analysis
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. Collaborate with physicists, computer scientists, mathematicians and engineers across LBNL divisions to define software requirements, implement robust solutions, and develop software for high-energy particle
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workflows. Develop structured data models for media recipes, feeding strategies, and sampling plans. Capture biological variability in reproducible, machine-readable formats. Establish and maintain data
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, machine learning or AI to computational modeling, simulations, and advanced data analytics for scientific discovery in materials science, biology, astronomy, environmental science, energy, particle physics
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Modeling. Machine Learning Interatomic Potential (MLIP) accelerated simulations. Demonstrated ability of coding in Fortran, Shell, or Python with development experiences. Deep knowledge in excited states and
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recognized four year apprenticeship program in plant maintenance or completion of an accredited two-year program with two years of work experience; or an equivalent combination of documentable military or
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. Excellent computer literacy, including proficiency in internet browsers, email, Microsoft Office & Google Suite, advanced information management systems, and data visualization tools. Advanced skills in