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The Computer Vision-Core Artificial Intelligence Research (Vision-CAIR ) group led by Prof. Mohamed Elhoseiny at the CS Program of the King Abdullah University of Science and Technology (KAUST) is
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limits of Symbolic Regression (SR). SR is an emerging area of artificial intelligence that discovers interpretable mathematical relationships directly from data. You will lead the algorithmic and
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computational team members. Comfort maintaining datasets, as well as displaying and interpreting processed data for publication. Demonstrated independence in developing new methods and troubleshooting. Ability
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engineering, Computer Science, Electronics Engineering or equivalent. Independent, highly analytical, proactive and a team player Excellent teamwork and verbal, written communication skills In-depth knowledge
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/ab initio workflows (Gaussian, ATK, CASTEP) and beyond - Mathematica, Python, Fortran implementations; UNIX/Linux environments • Collaborate with experimental groups and other theorists to design
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techniques e.g. Gaussian/Amber/Schrödinger/python/bash We regret that only shortlisted candidates will be notified. Hiring Institution: NTU
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under heavy-tailed distributions and adversarial contamination, as well as high-dimensional Gaussian and bootstrap approximations for robust procedures. The closing date for applications is midnight (UTC
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. • Proven machine learning experience (e.g., post-processing, prediction, classification/regression, uncertainty estimation, model evaluation). • Familiarity with remote sensing products and reanalysis
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relevant topic, experience in carrying out statistical analyses of routinely collected health care or clinical trial datasets using statistical techniques such as conditional logistic regression, survival
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regression, survival analysis, imputation of missing data, multilevel modelling, experience of using statistical software such as R and/or Python. Further particulars are included in the job description. The