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Field
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-neutral fuels, there is a possibility to achieve fossil free shipping. Hard wing sails are a common wind propulsor, but optimizing their performance requires advanced sheeting strategies to prevent stall, a
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into two main areas: (1) material development and characterization to ensure optimal sensing and mechanical performance, and (2) structural evaluation of SS-FRCMs under environmental stressors such as freeze
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empirically validate how GenAI agents can assist software developers in tasks such as code generation, documentation, optimization, and human-AI interaction workflows. As a postdoctoral researcher, you will be
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, design and characterization of quantum processors Development and optimization of nano-fabrication processes for large-scale devices Development of optimal control techniches to achieve fast and high
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successful candidate should have practical experience with metabarcoding of aquatic samples, experience in DNA extraction from challenging samples and PCR optimization. Further, the candidate should possess a
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factor – DNA binding, detecting protein – protein interactions or enzyme optimization. Main responsibilities The candidate will use and develop methods within one, or preferably multiple, of the following
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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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to test various adjustments in the indoor diet in order to alleviate metabolic challenges during transition to pasture. The aim is to optimize pasture utilisation and milk production in part-time
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for tens of kilometers length. In this project, you as a postdoctoral researcher will mainly carry out: optimization of both fiber preform preparation and fiber drawing processes so as to reliably fabricate
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propagation problems, stochastic partial differential equations, geometric numerical integration, optimization, biomathematics, biostatistics, spatial modeling, Bayesian inference, high-dimensional data, large