37 parallel-programming "AIR Institute" Postdoctoral positions at Oak Ridge National Laboratory
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areas include: Parallel and distributed graph and or ML algorithms — shortest paths, connectivity, clustering, or graph traversal on GPU clusters and distributed-memory systems. Sparse direct and
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temperature compounds (UHTC’s) structures. Knowledge of organic chemistry, synthetic methods, and the skill to work with air and/or water reactive compounds in an inert atmosphere glovebox and/or
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dynamics (CFD) to support system design and performance optimization. Experience in data center thermal management technologies, including air cooling, liquid cooling, direct-to-chip cooling
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Postdoctoral Research Associate - Multifunctional Equipment Integration Energy Conversion Technology
characterization. Excellent written and oral communication skills. Proven publication record. Preferred Qualifications: Experience with heating, ventilation, and air-conditioning (HVAC) equipment. Experience
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, with experience in heating, ventilation, and air-conditioning (HVAC) systems. Self-motivated team player with strong interpersonal skills, able to collaborate across organizational levels in a fast
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foundation in linear algebra (tensor networks and beyond) and quantum physics Familiar with programming languages and scientific computing Preferred Qualifications: Experience working with low-rank
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professional society conferences and workshops. Preferred Qualifications: Experience with probabilistic programming frameworks such as PyMC, Stan, NumPyro, or similar. Experience with system
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: Ph.D. in Computer Engineering, Electrical Engineering, Computer Science, or a closely related field. Strong programming proficiency in C, C++, and Python. Hands-on experience with embedded systems
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numerical methods, high-performance computing (HPC), or large-scale data analysis. Experience in applying AI/ML techniques to hydrological and Earth sciences. Proficiency in scientific programming
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predictive analysis. Expereince with the Python programming language. Ability to work within a multi-disciplinary team environment on scientifically challenging problems. Demonstrated ability to communicate