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Field
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involve selecting various event topologies to constrain background and perform detailed study of double-beta decays. GEANT4-based simulations will be used with the software FALAISE developed by SuperNEMO
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design spaces, long-duration simulations, and real-time applications. This PhD project will develop physics-informed deep learning and surrogate modelling approaches to accelerate simulation, uncertainty
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mutations in the Survival Motor Neuron 1 (SMN1) gene, resulting in reduced levels of SMN protein. Because patients lack a functional copy of SMN1, SMN protein production relies on the SMN2 gene, which
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International Centre for Translational Eye Research / Institute of Physical Chemistry, Polish Academy of Sciences | Poland | 5 days ago
genetic engineering. Candidates should be familiar with single-cell and/or spatial RNA-sequencing and mice models to develop multi-omics method for profiling of intraocular tumours. The successful candidate
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PhD in Computational Simulations of Turbulent Reaction Flows for Clean Energy and Sustainable Propul
-Averaged Navier-Stokes (RANS) simulations. Several national and international collaborations with industrial and academic partners exist. The current position focuses on the assessment and modeling
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variations in the Amazon Basin by modeling several contrasting paleoclimatic episodes. The following types of simulations will be conducted and analysed: - Realistic simulations of the climate during the Last
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Inria, the French national research institute for the digital sciences | Sophia Antipolis, Provence Alpes Cote d Azur | France | 3 months ago
scales. The objective of this project is to explore a new simulation methodology based on neural surrogate models. By incorporating a “memory effect” into numerical solvers, our approach aims
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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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, sustainability objectives and future uncertainties into a unified decision-making framework. The candidate will develop probabilistic modelling and stress-testing approaches, including Monte Carlo simulations and
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of XID+, a world-leading modelling framework developed at Sussex, which can disentangle emission from multiple galaxies that appear blended together in observations. The PhD project will focus on advancing