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. Knowledge and Professional Experience: Knowledge of programming languages used in data analysis (particularly Fortran and/or Python) will be valued, but it is not essential. High Performance Computing
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digestibility, and genetic transformation of monocots. Performance Standards & EEO Statement The criteria for evaluation in this position include, but are not limited to, the following: Exhibit high-level
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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Laboratory. This is an opportunity to be part of a team helping with the design of new system software and runtime infrastructure to improve the performance and energy efficiency of future scientific computing
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and other material processing techniques, focusing on the integration of organic and inorganic materials. You will carry out in-depth structural and performance characterization, including permeability
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will also be heavily involved in the development and operation of LHCb’s heterogeneous software trigger system. The successful candidate will focus on analysis of Run 3 proton-proton and heavy-ion data
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-performance computing infrastructure. Opportunities to publish in high-impact journals and present at international conferences. Career development support and mentoring. Collectively agreed remuneration
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). Your primary involvement will focus on Research Area 3. Required qualifications: Documented experience in developing and applying ocean models Experience using high-performance computing systems
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Sciences, Chemistry, Physics, Computer Science, or related disciplines with a strong background in computational methods and machine learning. Experience in materials informatics, high-throughput
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bioinformatics, with a particular emphasis on performing analysis of high-dimensional data, which can be sequencing and/or imaging-based. Experience working with AI and machine learning approaches are considered a