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-related challenges in maritime transportation systems; 2) supporting the development and application of quantitative and data-driven models for assessing and predicting risks and system performance; and 3
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. This includes exploring the use of digital twins for bioreactors and deploying AI driven predictive models to improve optimisation, consistency and overall yield. The main focus for this role is to work with the
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exploring multi-functional and sustainable polymers for additive manufacturing in robotics. SUME (https://www.vubtechtransfer.be/sustainable-materials-technology ), is the sustainable materials engineering
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environmental quality. The fellow will contribute to field and laboratory studies, data analysis and modeling, publication of results, and development of decision-support tools for producers, advisors, and agency
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to submitting your application, please review and update (if necessary) the information in your candidate profile as it will transfer to your application. Job Title: Senior Data Engineer Department: ERIK | Office
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of accelerating discovery across the life sciences. We are seeking a highly skilled AI Research Engineer to join our team and advance our AI-driven scientific initiatives. You will build methods for supervised
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impactful, application-driven research. This position supports a strategic research project on full electric harbour craft microgrid modelling, onboard energy management systems (EMS), and hardware-in
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Engineering at NTNU, where computational mechanics, advanced finite element modelling, and artificial intelligence meet. As a PhD candidate, you will work at the forefront of nonlinear simulation, contributing
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software development. E3 Experience in training deep learning models relevant in research projects at scale. E4 Experience of applying good software engineering practices including but not limited
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application process here. About the position The Department of Information Security and Communication Technology invites applications for a fully funded PhD position on AI-driven network operations for cloud