217 developer-"https:" "https:" "https:" "Lawrence Berkeley National Laboratory Physics" PhD positions in Norway
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research profile: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/ Qualification Requirements Qualification Requirements Applicants must have a relevant
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knowledge for a better world. You will find more information about working at NTNU and the application process here. About the position The Structural Mechanics group (https://www.ntnu.edu/kt/research/sm ) is
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to the development of next-generation AI-enhanced finite element methods for robust structural design. You will be part of a dynamic and internationally oriented research group with strong expertise in solid mechanics
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research profile: https://www.hvl.no/en/studies-at-hvl/study-programmes/responsibleinnovation-and-regional-development/ Qualification Requirements Qualification Requirements Applicants must have a relevant
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description The position is connected to the project “Bayesian Enhanced Tensor Factorization Embedding Structure (BETTER)”, and this PhD project specifically aims at developing a unified, scalable, and
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. Kurusch Ebrahimi‑Fard and is connected to the research activities of the national project SURE‑AI. The PhD project focuses on developing mathematical and computational methods based on path signatures and
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advancing resilient and sustainable infrastructure? As a PhD Candidate with us, you will work toward earning your doctorate while developing strong expertise in probabilistic modelling, structural reliability
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project NICE is a center for research-driven innovation (i.e., an SFI ) in which NTNU, the University of Oslo, and key industry players work together towards developing the knowledge and technology required
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hydrodynamic load models. The purpose of this work is to increase the understanding of longlines with seaweed under sea loads and develop accountable hydrodynamic load models. Your supervisor will be Professor
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the analysis of linked health registries though the development, implementation and application of methods for causal inference in time-to-event outcomes. For more information and how to apply: https