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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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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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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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Job Description SDU Robotics , part of the Maersk Mc-Kinney Moller Institute , University of Southern Denmark (SDU), currently has open position as engineers in various areas within hardware and software for robotic systems. The position are for a 2-year period with the possibility of extension....
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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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Master’s programme. If you have practical experience in subject areas relevant to the proposed research project, it is naturally an advantage, but it is neither required nor expected. A PhD is a research
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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