88 parallel-computing-numerical-methods positions at University of Southern Denmark in Denmark
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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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, stimulation and transduction of T cells, and standard molecular biology methods, including cloning. Experience with flow cytometry and animal work is essential. Hands-on experience using cancer models in mice
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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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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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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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preparation and characterization of lipid nanoparticles Experiences with spectroscopic methods UV/VIS and fluorescence techniques The applicant must have an undergraduate and graduate training in Chemistry
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. 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 electronics, and self
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these intricate immunological processes. Using advanced bioengineering methods and innovative molecular tools, this project aims to: Develop robust 3D skin-on-a-chip models incorporating genetically engineered
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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