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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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functional theory) and high-performance computing. Additional background in renewable energy, surface science, catalysis, and/or machine learning. Strong programming skills in Python and some exposure to
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: Demonstrates the ability to plan and execute research. Excellent verbal, and written communication skills, attention to details, as well as training in research methodology and quantitative data analysis
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. The candidate must have progressively responsible experience that demonstrates the ability to plan, execute, and manage research activities, including mentoring and supervising. The researcher will be team player
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research program will execute use-inspired discovery with an entrepreneurial mindset that develops science and solutions that matter to society and impact the Maine economy. Postdocs will receive formal and
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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., epidemiology, applied mathematics, statistics, or network science) by the start of the appointment, Experience developing complex models for real world data, with strong programming skills (R, Python, and/or
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of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable students to transform
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. Our broad mix of experience-based education programs?our signature cooperative education program, as well as student research, service learning, and global learning?build the connections that enable
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. Programming skills (Python or Fortran preferred, but not required) are desired. Experiences with catalysis (biological, homogeneous, or heterogeneous), excited-state simulation methods, multiscale simulations