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Field
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in Direct Ink Writing of Thermo-Electric Materials The Advanced Manufacturing Lab (am|z) at the Department of Mechanical & Process Engineering (D-MAVT) at ETH Zurich develops advanced manufacturing
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separate technologies but can now, due to advances in digital processing and system integration, be deployed jointly on common hardware platforms. This convergence opens up a new and growing research domain
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responsible for further developing the research plan and exploring how core CPP themes can be integrated into the project (including systemic influences on grief, self-related processes, loneliness, and
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an expanded coherent and exascale-ready software stack featuring breakthrough research advances that meets the needs of complex parallel applications and the requirements of heterogeneous exascale architectures
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the group can test and validate models of sodium-ion battery behaviour. As such, proficiency in computer programming (particularly python) is required as well as knowledge of numerical methods
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keeping. Strong organisational skills, with the ability to plan and prioritise tasks across parallel activities (e.g., sample processing, biobanking, and experimental support) and meet deadlines as
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scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation Experience applying machine learning or AI to molecular simulation
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influences on grief, self-related processes, loneliness, and cultural background). In addition, the postdoctoral researcher will take primary responsibility for the execution of the study. The project involves
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strategies for large-scale or streaming data. Develop parallelized and GPU-accelerated learning modules, ensuring scalability and performance efficiency. Build and maintain robust data pipelines for high
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following treatment. NEWDAY-ABC is a hybrid intervention-implementation trial that will be carried out at four sites across Yorkshire and Greater Manchester. The parallel process evaluation will assess