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Field
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software in support of Department of Energy (DOE) mission applications across a broad range of scientific domains, including materials, biology, physics, and nuclear science. The successful candidate will
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Theory. Analyze large-scale educational datasets using statistical software such as R Support development of cognitive diagnostic assessments and item banks for introductory physics and calculus courses
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include an exciting work in terms of hardware/software use and upgrade of additive manufacturing machines to achieve optimal processing, which could be especially empowered by monitoring and computer
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quantitative field) A strong interest in the biological determinants of health in aging/biological aging Solid analytical skills using statistical or programming software (e.g. R, Stata and/or Python) Excellent
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computational mesh generation. In this role, you will apply your software engineering skills to develop and validate computational results that support large-scale, physics-based simulations across a variety of
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, community-driven research software. Both institutions provide a full-time position each for the duration of 1 year, and both candidates will closely collaborate with each other and with data researchers in
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project funded by the French National Research Agency (ANR). The team to integrate is engaged in the continuous development and improvement of cryo-EM image analysis software for structural biology. The
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epidemiology and prevention. Proficiency in statistical analysis software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability to collaborate effectively in a team
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simulating nanocarbon materials or catalytic systems. Proficiency in quantum chemistry software (e.g., VASP, AIMPRO, ORCA) and scripting languages (Python, Bash) for data analysis and workflow automation
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software such as Stata, R, or SAS. Strong interpersonal and communication skills, with the ability to collaborate effectively in a team environment. Demonstrated commitment to advancing mental health