24 parallel-computing-numerical-methods PhD positions at University of Southern Denmark
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                , acoustics, or a related field • Very good command of audiological test methods and hearing aid treatment • Good command of psychoacoustics • Good command of the English language in spoken and written form 
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                Status Full-time Hours Per Week 37 Offer Starting Date 1 Apr 2026 Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Marie Curie Grant Agreement Number 101227644 Is the 
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                to develop new methods. The proteomics data will be used in combination with protein structure predictions and functional studies to understand the structure, function, and assemble of multimeric protein 
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                . The successful candidate will work on developing new theoretical models and computational methods to investigate the fundamental limits of polariton-assisted inelastic electron tunneling in tunnel junctions made 
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                accomplished using methods such as reinforcement learning that should be initialized with information from human demonstrations. The developed method should be applied to the manipulation of flexible objects 
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                Prof. Daniel Merkle. The overall research project is based on the novel application of formalisms, algorithms, and computational methods from computer science to the design of microbial communities 
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                . Cox. The position is available starting 1 December 2025. The successful candidates will work on developing new theoretical models and computational methods to investigate the emergence and properties 
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                Job Description The Department of Mathematics and Computer Science at the University of Southern Denmark, Vejle, invites applicantions for PhD positions with a focus on Software Architectures and 
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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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                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