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), including during a postdoctoral fellowship. Experience with high-performance computing centers as well as with modern statistical software (R, etc.) and programming languages (Python, etc.). The candidate is
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molecular dynamics and machine learning. The candidate should have proficiency in scientific programming with Python or C++ and familiarity with machine learning libraries like Torch or TensorFlow
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related field) with a passion for computational modelling and a drive to solve complex safety challenges. If you are curious, analytical, and ready to make a difference from day one, you will fit right in
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(Batch and continuous), and scheduling. Data Modeling skills. Able to come up with a Canonical Data Model and simplify data flow and interaction between different applications. Should be able to integrate
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. Programming expertise in R/Python/MATLAB is essential, and some knowledge of C/C++ will be preferred. Candidates with demonstrated accomplishment in academic research, as can be judged from published papers
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to learn more about how you can be a part of AgriLife and make a difference in the world! Position Information: The DevOps Engineer II, under general supervision, supports the design, deployment, and
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, limited CO generation may lead to longer melting times. The primary aim of this research to determine the H-DRI melting mechanism with different DRI quality. Developing an understanding of the EAF slag
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statistical programming languages such as R and Python, and experience with Bayesian modelling and time series analysis. A track record of research outputs, including publications or presentations at national
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ultrahigh-throughput microfluidic screening to optimize mRNA for therapeutic purposes. mRNA libraries will be prepared by randomly combining different 5' and 3' untranslated regions (UTRs) identified
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related field. At least three years of documented professional experience in bioinformatics-related system development. Excellent knowledge of Python or similar programming languages. Experience using Git