23 parallel-computing-numerical-methods research jobs at University of Texas at Dallas
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Posting Details Posting Details Posting Number F01043P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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Posting Details Posting Details Posting Number F01043P Position Title Part-time Lecturer - Archer Fellowship Program Functional Title Part-time Lecturer - Archer Fellowship Program Department Honors
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early learning and development. We use a variety of methods – including experiments, naturalistic observations, and surveys – to explore how young children learn from others. We aim to build evidence
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computational approaches to quantum many-body systems. The position offers opportunities to collaborate with other theoretical and experimental groups, both at UT Dallas and beyond. Experience with numerical
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data analysis with experience in Bioinformatics, proteomics, RNA sequencing and RNA sequencing data analysis, and multiomic integration and analysis. Development of computational analysis methods is
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the thriving Center for Advanced Pain Studies, offering rich opportunities for collaboration with numerous other postdoctoral fellows, trainees, and faculty. Additional guidance is provided through university
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, neuroimaging or neuromodulation, or computer programming is a plus. Technical skills such as Matlab, Python, or R are highly desired but not required. Prior team-management experience and/or an interest in
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equations. Explore and apply mathematical methods to problems in number theory, such as the Dirichlet divisor problem and the Riemann hypothesis. Ensure the developed mathematical framework remains accessible
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enzymology. Established Background - Biocatalysis/Protein Engineering/Enzymology Area C: Research Focus – development and investigation of novel biocatalytic methods for asymmetric synthesis and selective
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such as Western blotting, PCR, immunohistochemistry, and microscopy is also expected. Experience with bioinformatics or computational biology tools is highly recommended, though not required. This is an NIH