154 coding "https:" "https:" "BC3 Basque Centre for Climate Change" positions in United Arab Emirates
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because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep
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-series sensors, and multi-omics or assay data to create predictive models and digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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because these companies need to allow their users to write simple, high-level code and run it efficiently on different hardware architectures. For example, Google has built TensorFlow, a framework for deep
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surveys to study the role of beliefs in the labor market in both developed and developing economies. We seek a candidate with expertise in both empirical and theoretical economics, with good coding skills
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, artificial intelligence, computer vision, robotics, UAVs, etc. is a plus. Other preferred qualifications include: expertise in programming and coding (preferably using Python and C++) and GUI development
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digital twin prototypes. Maintain reproducible code, experiments, and model/ dataset versioning; develop deployment artifacts (Docker, CI/CD scripts) and support cloud/HPC model training. Plan, run and
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omics approaches or epigenetics, advanced coding skills in R or Python, and prior supervisory experience with students or research staff. For consideration, applicants need to submit a cover letter
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learning. Many companies, such as Google, Facebook, and Amazon are building new specialized programming frameworks. This is because these companies need to allow their users to write simple, high-level code
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both empirical and theoretical economics and strong coding skills. The role will involve designing surveys, working with existing datasets, and applying models of firm dynamics in settings of structural