72 distributed-computing-"Meta" positions at University of Southern Denmark in Denmark
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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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distinctive moral reasons to be concerned with extreme wealth from the perspective of distributive justice, (2) to analyze the role of individual responsibility in a theory of extreme wealth morality, and (3
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Experience in mass spectrometry-based proteomics, structural biology, or CRISPR-mediated gene editing Proficiency in computational data analysis Strong communication and collaborative skills and an interest in
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of assignments may occur to a limited degree. The faculty determines the distribution of the various assignments. The weighting of the different assignments may vary over time. Employment will be in accordance
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different courses within the German Studies Program and the Comparative Literature Studies Program at the department. The teaching tasks also include supervision of BA, MA, and Ph.D.-students. Academic
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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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degree in Computer Science/Software Engineering or related areas. Research expertise with background in at least two of the following areas: Cybersecurity, Block-chain, Cryptography (e.g., Multi-Party
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position as postdoctoral researcher for 2 years in the area of computational nanophotonics, with a focus on semi-analytical and numerical methods for treating electron-beam spectroscopies. We are looking
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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