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Field
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for this position. Applicants should be proficient in R, Python, or equivalent statistical software. Some background knowledge in (computational) Bayesian methods and statistical learning for high-dimensional data is
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conferences. • Contribute to the writing of scientific publications. Optional : • Design Machine Learning (ML) potentials. • Code in FORTRAN and PYTHON to improve the functionality of the global
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, genomic selection modeling, bioinformatics, proficiency in R, Python and/or Linux command line • Experience with DNA/RNA extraction and library preparation • Experience working with large-scale datasets
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, engineering, neuropsychology, or a related field Strong skills in statistical analysis, programming using Python, MATLAB, R, or similar Strong quantitative or computational background Experience with
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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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field. Documented experience in image reconstruction, inverse problems, signal processing, computational imaging, or cryo-EM data analysis is required. Strong programming skills (e.g., Python, C/C
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modelling of 106Ru atmospheric transport in 2017 over northern hemisphere, Journal of Environmental Radioactivity, Volume 275, 2024, 107416, ISSN 0265-931X, https://doi.org/10.1016/j.jenvrad.2024.107416
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“Procédés Haute Tension” and “Ecoulements et Energétique” in Pau), please visit the laboratory's website: https://siame.univ-pau.fr/fr/organisation.html More information on the UPPA is available in
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experience in the following areas: Knowledge of computer science and machine learning. Familiarity with electrical and electronic engineering. Proficiency in programming languages such as Python, 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