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the group of dr Jacek Herbrych (https://jacekherbrych.github.io ) within project NCN SONATA BIS 13 2023/50/E/ST3/00033 entitled “Properties of low-dimensional quantum systems with charge, spin, and orbital
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/Qualifications Strong knowledge of mathematical modeling and numerical methods Experience in computational fluid dynamics and pipeline transport modeling Proficiency in programming and scientific computing (e.g
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Deployment Strategies - Model Compression: Investigate techniques such as quantization, pruning, and knowledge distillation to reduce the computational and memory footprint of deep learning models without
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Massachusetts Institute of Technology (MIT) | Cambridge, Massachusetts | United States | 25 days ago
/Administrative Internal Number: 25565 POSTDOCTORAL ASSOCIATE, McGovern Institute for Brain Research and Department of Brain and Cognitive Sciences, to develop computational circuit models, analytical theory, and
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and Radiological Science in Baltimore, MD is seeking a post-doc research fellow to be hired in the FELIX 2.0 laboratory (https://thefelixlab.jhmi.edu/ ). This is a full time, post-doc position. We
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Control of Buildings (https://annex96.iea-ebc.org ). Responsibilities and qualifications The primary objective is to advance scalable modeling methodologies for building energy systems by combining physical
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Modelling and Simulation”. Where to apply Website https://www.timeshighereducation.com/unijobs/listing/409570/asari-postdoctoral-… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter
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advanced hybrid modeling techniques. The core of the research involves applying the DEMATEL method (potentially combined with Fuzzy logic or ANP), which allows expert knowledge from industrial practice to be
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Institut de Recherche pour le Développement (IRD) | Sete, Languedoc Roussillon | France | 4 days ago
, and topography–circulation interactions. Strong scientific programming skills (Fortran) and experience in high-performance computing. Knowledge of marine biogeochemical models (particularly PISCES
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discrete black box combinatorial optimization problems (https://arxiv.org/abs/2510.01824 ). In this work, we parameterize a multivariate autoregressive generative model for generating solutions. By sampling