682 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in United States
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Field
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potential for high-impact research contributions at the forefront of computational quantum many-body physics. This position resides within the Computational Chemistry and Nanomaterials Sciences group in
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travel to meetings to present their work. Job Requirements REQUIRED: PhD in Astronomy/Astrophysics, Computer Science, Physics, Chemistry, or related field; demonstrated expertise in Python and significant
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of computational and theoretical chemistry. Research will involve the modeling of molecular materials based on model and ab-initio calculations. Projects will include, but are not limited to, and the topological
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collaborative and interdisciplinary team. Candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. Candidate should
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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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course in Texas A&M's acclaimed undergraduate engineering ethics program and contribute to the organization of programming associated with the Bovay Endowed Chair of History and Ethics of Professional
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team environment. Technical Proficiency: Skilled in using office software, technology, and relevant computer applications. Communication: Strong and clear written and verbal communication skills
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in the lab. · Computational biology: Perform bioinformatic analyses, including RNAseq analysis, genome sequence alignment, phylogenetic tree creation, and protein structure prediction
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research interests and background. Job Requirements REQUIRED: Ph.D. by May 2026 in political science, statistics, computer science, or a related program. PREFERRED: Demonstrated skills in methodological
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, biotechnology, RNA motility, RNA dynamics, biochemistry, protein/RNA structural computation and RNA Nanotechnology. We aim to train and create the next generation of scientific leaders and workforce