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Field
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, Automation, or a related field, along with a minimum of two years of relevant industry experience. Proficiency in CAD software (such as SolidWorks) and PCB design tools (like Altium or KiCad) is essential
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experience in doing so. This position is based at the Kansas Geological Survey (KGS), a research and service unit at the University of Kansas , and will be co-supervised by Jim Butler (https://kgs.ku.edu
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• Contributions to prominent open-source machine learning software projects, experience performing code reviews, and experience working in a team software development setting • Evidence of competitive excellence in
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attributes are encouraged to apply: Background in large-scale numerical modeling (regional planning, ecological, hydrologic climatic, or wildfire modeling). Experience with scientific software development in C
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environment. Experience with statistical software, including Stata, R, Python, and/or MATLAB. PREFERRED QUALIFICATIONS Prior research publication(s) and/or forthcoming publication(s) in top finance, economics
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to read, understand, and write in scientific English. 7. Knowledge and ability to operate computer software. 8. Analytical thinking, technical, and problem-solving skills. 9. Availability, desire for self
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Posting Summary Logo Posting Number RTF00010PO26 USC Market Title Post Doctoral Fellow Link to USC Market Title https://uscjobs.sc.edu/titles/156387 Business Title (Internal Title) Post-Doctoral
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Simulations (INMA, Zaragoza) Build and maintain software infrastructure for modeling quantum systems with machine learning tools. Investigate neural-network-based representations of many-body quantum states
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. The PDRA will quantify the differences in calculated and measured experimental conditions by adapting the Geodetic Bayesian Inversion Software ( https://doi.org/10.1029/2018GC007585) ). Working alongside our
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of peer-reviewed publications and conference presentations in traumatic stress. Advanced data anaylsis skills, including use of statistical software (e.g. SPSS, R, SAS). Prior involvement in successful