75 web-programmer-developer "https:" "https:" "https:" "https:" "https:" "Newcastle University" uni jobs at Technical University of Munich in Germany
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aims to change that by developing ways to measure and strengthen data agency so that learners can make real, informed choices about their data in learning environments. The doctoral researcher will
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they interact and connect with each other. The doctoral researcher will develop computational indicators that capture these patterns from digital communication data, model how learning relationships form and
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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, industry, and the public. We will collaboratively generate outcomes that help power the evolution of design in both scholarly research and practice. The institute will foster a vibrant and inclusive culture
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dynamic team. As part of the newly funded ERC Synergy consortium EPIC, you will develop scalable and robust software to train and apply AI models for regulatory genomics. About us The Chair of Computational
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application partner. The candidate will develop physical and chemical deoxygenation concepts for two given applications, measure and model physico-chemical properties, conceptually design, optimize, and test
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systems biology approach and with a focus on wood as substrate. The candidate will collaborate closely with CRC project partners across Germany to develop and apply multi-omics approaches and to investigate
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at the Technical University of Munich (TUM) invites applications for one PhD position. The student will work on developing scalable distributed preconditioners in Ginkgo (https://github.com/ginkgo-project/ginkgo
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to spatial design development in demonstrators, prototypes, and material-driven architectural applications Contributing to the further development of the professorship (e.g. Bioregional Design Lab, Material
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are used to describe LPC in different sectors. There is a strong need to advance our understanding of the LPC process and develop reliable physics-informed tools to predict and reverse engineering the LPC