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Field
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Excellent possibilities for further professional development and education; An inspiring academic and international work environment in the heart of Amsterdam; An enthusiastic and professional academic team
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within the broader project consortium. Capture the multi-scale nature of pipe formation while maintaining computational efficiency, including the exploration of adaptive mesh refinement strategies
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: Advancing machine unlearning, privacy-preserving techniques, and robust data curation. AI Safety: Ensuring robust alignment and safety in multi-agent LLM systems Efficiency: Streamlining large-scale model
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Institute of Neuroscience and physiology, Sahlgrenska Academy, university of Gothenburg | Sweden | 2 days ago
. Dementia-free adults aged 50–80 complete app- or web-based tests (neotiv, Cognitron) at baseline, 18 and 36 months and give blood at their local health centre. A sub-cohort (N=425) is examined twice with CSF
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Infrastructure? No Offer Description Area of research: PHD Thesis Job description:PhD Position - Multi-Scale Comparisons of Patterns of Concerted Activity and Causality in Cortical Neural Activity Shape the future
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multi-fidelity modelling, your research will advance and integrate three core elements: (i) physics-based multi-fidelity structural models enabling high-resolution analysis at fatigue-prone hot-spots
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of compute processors. Today’s AI compute processors have multi-Terabit/s interfaces to share intermediate data for distributed training and processing, generating large traffic flows. Low and deterministic
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term projects include: developing novel semiconductor qubits with superior performance, scaling semiconductor qubit systems, and investigating multi quantum well structures for higher dimensional quantum
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at the heart of medical diagnostics and automotive radar applications. As PhD candidate, you will extend the in-house domain decomposition method by introducing multi-scale techniques, such that small details
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mathematical background Core skills: Probability and statistics. Estimation, Bayesian inference, uncertainty quantification and calibration (proper scoring rules, reliability diagrams, ECE), experiment design