76 parallel-computing-numerical-methods positions at University of Southern Denmark in Denmark
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chains. SDU TEI is situated in a region with a robust network of companies, including some of Denmark’s largest global industrial players, such as Danfoss, Linak, and Siemens, as well as numerous SMEs
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regardless of their background (link ) - and MEGAFiT, which aims to design, test, and evaluate a research-based teaching program in fitness and strength training for students in grades 7–9 (link ) - and
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, Denmark’s famous fairytale author, the city is home to a vibrant and creative population that hosts numerous festivals and markets throughout the year. Application procedure Applicants are advised to read
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the associate professorship is a permanent position. The positions will have employment at Campus Esbjerg and will also include occasional research- and educational tasks at our program at Campus Odense
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protection laws such as HIPAA. This project addresses these issues by investigating and mitigating information flow vulnerabilities in multilingual hybrid apps. The aim is to develop new methods that combine
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researchers to attract funding for their best ideas from the EU Framework Programme for Research and Innovation – ideas that can make a decisive impact on society and contribute to better health for all
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levels. In this project, the PhD student will learn to understand and apply modern causal inference techniques such as target trial emulation, marginal structural models and G-computation to observational
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their academic profile in LSP will be to work on so-called “zero programming” methods and tools to define a digital workflow from product design to production operations. Based on analyzing digital product
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project. The research will bridge both established and emerging technical expertise within the section, encompassing areas such as FPGA and neuromorphic computing, Edge AI, machine learning, power
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Neural Networks (SSM-SNNs). The project includes the co-design and integration of a RISC-V processor for hybrid neuromorphic computing. The research aims to develop ultra-low-power computing chips