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deployment and post-training of foundation/large models”. He/She will be required to: (a) model quantum computing platforms; (b) design quantum networks and compilation algorithms; (c) evaluate
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aspects of cheminformatics. The position is founded by the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases ”, led by Prof
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-photonic computing architectures; Silicon-photonic network architectures Machine Learning Algorithms/Systems: Experience in design and use of ML algorithms; Experience in using ML for designing computing
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methods and algorithms for mass spectrometry data Bioinformatics software development, support and management of FragPipe computational platform Manuscript and report preparation Required Qualifications
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position (contract-based) and one PhD fellowship in Computational Biophysics/Chemistry (see also https://constructor.university/comp_phys). The PhD position is focused on efficient algorithms
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of transformer parameters (no-load losses, winding gradient, load losses). Building upon this existing body of work, the proposed research project aims to explore AI models and ML algorithms which are suitable
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for this position are: (1) Software Engineering (2) Computer Architecture and Operating System (3) Programming and Algorithms. Additionally, knowledge of Artificial Intelligence and Machine Learning and Data
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Local Rules for Kolmogorov–Arnold Networks (KANs) School of Computer Science PhD Research Project Directly Funded Students Worldwide Prof Eleni Vasilaki Application Deadline: Applications accepted
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the Challenge Programme of the Novo Nordisk Foundation: “Mathematical Modelling for Microbial Community Induced Metabolic Diseases”, led by Prof. Daniel Merkle. The expected starting date is 1 Januar 2026, with
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Neckarsulm, aiming to explore and develop AI algorithms, frameworks, and hardware architectures for efficient edge deployment in vehicles, with a focus on neuromorphic computing. @Fakultät@-Plakat-A4-hoch