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Field
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questions for both Biogeography and Quaternary Palaeoecology, and the answers provide the basis for predictions of ecosystem and species response to future climatic change. We are looking for PhD candidates
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(the extracellular matrix). The mechanical behaviour of these materials is heterogeneous, complex and diverse and it is only by means of predictive mathematical modelling that the underlying processes that govern
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challenges of learning from network traffic, (ii) train original AI models that are designed to operate precisely on such data, and (iii) demonstrate the viability in production of AI-driven solutions for, e.g
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datasets, modelling approaches, and performance metrics; develop physics-informed and data-efficient machine learning models to predict sorbent behaviour from sparse and multi-modal experimental data; and
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, SEM, XRD, or particle size analysis Understanding of hydrometallurgical or battery recycling processes Integration of modeling or theoretical predictions with experimental work Collaborating in
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Institut National des Sciences Appliquées de Lyon | Villeurbanne, Rhone Alpes | France | 16 days ago
between two pipe sections. The research programme is defined as follows: - realization of a bibliographic review; - familiarisation with simple models of structural and sonic ABHs; - development
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research. Experience applying machine learning and statistical modeling techniques to large biological datasets for biomarker discovery, disease prediction, or host-pathogen investigations. Proficiency in
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these challenges by advancing sensitivity-based modelling, fluid–structure interaction (FSI) methods, inverse problem solving, and surrogate modeling techniques, ultimately enabling predictive, adaptive, and
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probabilistic modelling. The focus will be on quantifying and evaluating uncertainty in both numerical and categorical predictions derived from medical reports, and on integrating these uncertainties
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, inspection histories, operational performance data, hyperspectral imagery, train-borne video analytics and satellite soil-moisture products to build predictive models of vegetation-driven and water-driven