2,221 parallel-computing-numerical-methods-"DTU" Postdoctoral positions in United States
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such as cobalt and rare earth elements from dilute sources. The successful candidate will be responsible for applying advanced quantum mechanical methods to model metal–peptide binding interactions, guide
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, computational fluid dynamics and material science, dynamical systems, numerical analysis, stochastic problems and stochastic analysis, graph theory and applications, mathematical biology, financial mathematics
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Information: 2 openings available. Internal Number: JR89249 Position Summary Functional Genomics of circular RNAs in Alzheimer's Disease. The Cruchaga Lab, member of the NeuroGenomics and Informatics Center, is
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research project using cutting-edge approaches in whole-cell patch-clamp electrophysiology, in vivo calcium imaging, and animal behavioral tests. • Employ advanced neural circuit dissection methods (e.g
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epilepsy patients and non-human primates are conducted using identical behavioral paradigms and combined with computational approaches. We are seeking an extremely motivated postdoctoral researcher with
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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parallel computing techniques including working in the cloud. Preferred Qualifications Education: No additional education beyond what is stated in the Required Qualifications section. Certifications
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Apply now Job no:525134 Work type:Post Doc (Amherst Only) Location:UMass Amherst Department: Elect & Computer Engineering Union: Post Doc Categories:Postdoctoral Research Associate, College
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prioritize work while meeting multiple deadlines. Ability to communicate effectively in both oral and written form. Skill in using analytical software tools, data analysis methods, and other computer
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of statistical concepts and methods. Proficiency in at least one programing language (e.g., R, SAS, STATA). Excellent quantitative analytical skills, particularly in longitudinal modeling, administrative data