153 parallel-processing-"International-PhD-Programme-(IPP)-Mainz" Postdoctoral positions in Sweden
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, including finite-element simulation and topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks
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topological optimization of light guidance in HCFs, and numerical simulation of thermo- and fluid dynamics under fiber-drawing processes. Apart from the main tasks above, the postdoc can be involved in
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Shape the future of high-performance computing! The European DARE project is pioneering next-generation processing technologies, leveraging RISC-V and Vector architectures, and we're looking for a
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of fermentation-based foods and microbial biomass as sustainable sources of protein and fat, there is a growing need for advanced downstream processing and refinery technologies to fully unlock their potential
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velocity air-fuel (HVAF) facility lend a rare uniqueness and versatility to the group’s processing capabilities, which are further complemented by a range of allied equipment for process monitoring, coating
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facilitated by the availability of a high-power axial-feed capable plasma spray system and a high velocity air-fuel facility. These lend a rare uniqueness and versatility to the group’s processing capabilities
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the statistical properties of the microwave photons. The role of this postdoc position is to gain understanding of the quantum mechanical measurement processes and backaction effects that take place in
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application! Work assignments Our current research projects focus on distributed radar sensing, hardware-efficient signal processing, robustness and resilience, and communication-efficient decentralized machine
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in processing of soft materials. Suitable background for this position is a doctoral degree in surface chemistry, organic chemistry or polymer chemistry, polymer technology, macromolecular materials
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semantic representation models for sign language. Such representations are key to allowing SL to be efficiently processed by large language models (LLMs), and will lead to machine learning models that can