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observational data of non-CO 2 greenhouse and ozone-depleting gases (e.g., N 2 O, CFCs, HFCs), and to extract diagnostic insights from instrument performance indicators, using machine learning methods
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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Job Description Job Alerts Link Apply now Research Assistant in Quantum Algorithms and Machine Learning University-Level Unit: Centre for Quantum Technologies Faculty/Department-Level Unit
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non-coding CRISPR screens, the Massively Parallel Reporter Assay (MPRA), saturation mutagenesis, and synthetic sequence design, alongside machine-learning models of regulatory grammar. Responsibilities
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collaboration with the Intelligent Maintenance and Operations Systems (IMOS) Laboratory at EPFL ( Prof. Olga Fink ). IMOS develops advanced machine-learning and AI methods for complex engineering and
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central to modern Data Science, such as statistical learning, causal inference, experimental design, probability, stochastic PDEs, algebraic statistics, normalizing flows, scientific machine learning
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Mathjobs.org | 19 days ago
flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum
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flows, scientific machine learning, optimization, inverse problems, or data assimilation, who have the potential to supervise PhD and master's student research with ability to contribute to curriculum
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operations across multiple departments. Transforms manual processes into AI-driven solutions, focusing on building robust data pipelines, creating efficient machine learning models, and integrating AI
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real-world problems. Ideal candidates will have demonstrably strong research skills, evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading