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Applications are invited for a Postdoc position within the research project “Uncovering the creative process: from Inception to Reception of translated content using machine translation” (INCREC
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on carbon turnover models and the fusion of data science forecasting methods with process-based models (hybrid modelling) to map soil and biomass carbon fluxes across Europe at high resolution. Your
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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with partners across Europe: data sharing, code exchange, joint publications and reporting. Your qualities You hold a PhD (or near completion) in Soil Science, Environmental Modelling, Biogeochemistry
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wide range of resources and is mostly not publicly available. While sharing proprietary data to train machine learning models is not an option, training models on multiple distributed data sources
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technologies for green steel production. For this position, we are expecting the candidate with the following qualifications: You hold a PhD degree in chemical, metallurgical or materials engineering. You have
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can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
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Vacancies Postdoc position on Data enhanced physical reduced order Models Key takeaways The position is embedded into a large-scale effort between academic groups in the Netherlands and industrial
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letter in which you describe your motivation and qualifications for the position. Curriculum vitae, including a list of your publications and the contact information of three references. Copies of PhD
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publications based on your PhD research. An interest in contributing to the clinical translation of preclinical research innovations. More information About GROW Research Institute for Oncology and Reproduction