80 parallel-computing-numerical-methods-"DTU" positions at University of Southern Denmark in Denmark
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participatory methods to PACA’s overall mission of developing a post-anthropocentric ontology The applicant is expected to hold a PhD degree in the humanities (e.g., literary studies, pedagogy, cultural studies
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asset. Familiarity with quantitative text analysis procedures is considered an advantage. Familiarity with digital tools, including computational methods for textual analysis, will be an advantage
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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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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
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University of Southern Denmark, IMADA - Department of Mathematics and Computer Science Position ID: SDU -ASSISTPROF1 [#26735, 3023] Position Title: Position Type: Non tenure-track faculty Position
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Human Rights is offered in Odense on both the daytime studies and the part-time programme in law. On the part-time programme, classes are held on Saturdays and are streamed and recorded so that students
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on conventional computing platforms such as GPUs, CPUs and TPUs. As language models become essential tools in society, there is a critical need to optimize their inference for edge and embedded systems
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University of Southern Denmark, IMADA - Department of Mathematics and Computer Science Position ID: SDU -PROF1 [#26733, 3031] Position Title: Position Type: Tenured/Tenure-track faculty Position
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University of Southern Denmark, IMADA - Department of Mathematics and Computer Science Position ID: SDU -ASSOCPROF1 [#26734, 3029] Position Title: Position Type: Tenured/Tenure-track faculty
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understanding of chemical safety regulations and frameworks: CLP, REACH, SVHC lists, and GHS classification. Demonstrated experience with: Hazard and risk assessment methods (e.g., QSAR, NAMs, in silico tools