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resilience across different beef production systems and farm types. A key innovation of this project is the development of a multi-platform modelling framework that links environmental life-cycle modelling
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design, material research, fabrication or prototyping Ability to communicate with researchers from different disciplines Self-driven with the ability to work both independently and collaboratively Fluency
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morphological and functional imaging of the human cerebellum. This project will give you the chance to work on a wide range of MR-topics and contrasts, including parallel transmit, quantitative MRI, diffusion
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the ability to communicate in English, both orally and in writing. Basic knowledge of spoken and written Swedish is an advantage, or a willingness to learn Swedish in parallel with your assignment
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is to understand and optimize PPA properties using a simulation strategy that spans from the molecular scale (ab initio calculations) to continuum approaches, thereby accounting for the different
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that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase retrieval in the weak holographic regime
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developments by the project team regarding advanced crystal plasticity models, different modeling strategies will be explored, including strain gradient plasticity [1,8,9], micromorphic approaches [2], and
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. Therefore, we need an imaging scheme that captures relevant features at different length scales and integrates them into a single reconstruction volume. This PhD project focuses on learning-based phase
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developments by the project team regarding advanced crystal plasticity models, different modeling strategies will be explored, including strain gradient plasticity [1,8,9], micromorphic approaches [2], and
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to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing. This PhD position offers the opportunity to work at the