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be embedded within Moderna's Clinical and Quantitative Pharmacology (CQP) function and will contribute to key modeling and simulation deliverables for drug candidates across early and late stages
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for the Modeling of Biological and Sociotechnical Systems (MOBS Lab) within the Network Science Institute at Northeastern University. MOBS Lab focuses on research projects aimed at developing innovative mathematical
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on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
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reactors using ionic liquids. In particular, a methodology will be developed to scale up the laboratory results, and a techno-economic pseudo-transient lumped-parameter model of the reactor will be created
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Modelling. You will work on applied and methodological research projects focussed on policies involving interventions affecting both health and work outcomes and the interactions between them. The research
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amplitude) are hampered by the specificity of InSAR data (wrapped phase, loss of coherence, atmospheric fringes, etc.) and the lack of labelled data to train the models. To address these challenges, previous
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focus on the molecular mechanisms governing liquid–solid interfacial dynamics. Using molecular dynamics simulations combined with theoretical modeling, the project will investigate how confinement
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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INFORMATICA - SCIENZA E INGEGNERIA | Italy | 12 days ago
collective computational systems. The goal is to develop and analyse techniques for analysis, modelling, and abstraction (e.g., coarse-graining, multi-scale models, information-theoretic approaches
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of energy consulting services within the infrastructure of a Data Space Analyze data from public and private data sources in relation to the energy consumption of the built environment Validate the modeling
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models, report formats and other analysis considerations, determine and write statistical considerations and algorithms for protocol documents according to study design and appropriate statistical methods