16 parallel-computing-numerical-methods Postdoctoral research jobs at University of Texas at Dallas
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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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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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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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Strong analytical and problem-solving skills Excellent written and verbal communication abilities Proficiency in a wide range of laboratory techniques and data analysis methods Competence with computer
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methods Other duties as assigned Essential Knowledge, Skills & Abilities: Function independently to organize and conduct highly specialized and advanced experiments using established scientific protocols
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imaging is also required. However, experience with bioinformatics or computational tools for biology is highly recommended but not required. This position provides an opportunity to lead and run experiments