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Field
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machine learning and/or operational research. You can understand literature in both disciplines. Excellent oral and written communication skills in English proven by a minimum score of 100 in TOEFL or IELTS
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analyses or game theoretic analysis. Experience with large language models, machine learning, and/or programming in R or equivalent programs is an advantage but not a requirement. The evaluation of
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of machine learning to physical problems Experience with surrogate modelling to replace computationally expensive simulations Knowledge of lithography limitations and design-for-manufacturability (DFM
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): · Hybrid Multiscale Modelling · Hybrid Physics-Machine Learning Analyses · Coupled Atmosphere-Turbine Models · Uncertainty Quantification in Hybrid Frameworks We offer the opportunity to work in a very
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scientific excellence and applied research to design solutions that address real-world challenges and create positive impact. Do you want to know more about LIST? Check our website: https://www.list.lu/ You
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Qualifications Education: ABD status by start date, PhD preferred by start date in a field relevant to the research being conducted, such as computer science, artificial intelligence, machine learning
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Join MultiD Analyses AB and the University of Gothenburg to develop innovative bioinformatics and machine learning methods for RNA Fragmentomics, with the ambition to improve cancer care through
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leadership skills and experience. Knowledge/Skills/Abilities Computational catalysis, machine learning Job Duties Job Duty Conduct computational research on catalysis at solid–liquid interfaces using advanced
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machines Conduct simulations and experimental testing to validate system performance Document and disseminate research results through scientific publications and presentations The PhD candidate will work
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the motivation is that design and operational data, gathered across many vessels and many projects, could form one coherent body of knowledge that AI methods can search and learn from, helping surface relevant