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explainable, embodiment-aware, and probabilistically consistent adaptation from onboard sensory data via end-to-end differentiable architectures, enhancing robustness, efficiency, and generalization across
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electrification strategy, the research aims to develop a multidisciplinary framework that combines microstructure modeling, machine learning, and probabilistic simulation to link manufacturing parameters, foam
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form of topic modelling as a method for automated content analysis. Topic models are a probabilistic method that allows organizing the contents of a text corpus into a set of semantically coherent
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, University of Delaware The Mathematical Sciences Department (https://mathsci.udel.edu ) at the University of Delaware seeks to appoint two tenure-track assistant professors in the area of mathematical
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of Biomedical Engineering - Prof. Elham Azizi's Lab, is looking for a Staff Associate III to: Functional Knowledge (35%) – Develop advanced probabilistic and causal generative frameworks linking molecular
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. Project description and tasks The successful applicant will study problems in extremal and probabilistic combinatorics, as part of Dr. Maryam Sharifzadeh’s project Induced saturation problems
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(including data science courses, soft skill courses and annual retreats): https://www.hds-lee.de/about/ A qualification that is highly valued in industry 30 days of annual leave and flexible working
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Associação do Instituto Superior Técnico para a Investigação e Desenvolvimento _IST-ID | Portugal | 2 months ago
within a Research Infrastructure? No Offer Description Applications are open for 2 (two) Research Studentships, within the framework of PREDICT (Probabilistic Real-time Estimation of Discharges Integrated
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well as experience in the development of novel probabilistic methodology. Previous research experience in random interfaces and lattice models would be an advantage. What we offer As well as the exciting opportunities
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- Literature review and data analysis. - Development of predictive models and innovative risk assessment methods. - Sample analysis and toxicological evaluation. - Probabilistic exposure modeling and uncertainty