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models. The successful candidate will participate in experimental design, execution, data analysis and interpretation, development and optimization of research methods, preparation of scientific
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community of atmospheric chemists at MIT. The work will focus on interpretation of AGAGE observations of non-CO2 greenhouse and ozone-depleting gases (e.g., N2 O, CFCs, HFCs) using models, measurements and
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). The successful candidate will continue the development of an existing systems biology model of articular cartilage regulation in healthy and osteoarthritic knee joints. The spatial mapping of cell-cell
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infrastructural material, mechanics, manufacturing, and multi-physics modeling, simulation, and optimization research community (learn more at https://research.engineering.asu.edu/ ). We seek applicants who can
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thesis topic: "Modelowanie przejścia przewodowego raka piersi in situ do inwazyjnego raka piersi" / "Modeling the Transition from Ductal Carcinoma In Situ to Invasive Breast Cancer" https
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project funded by the French National Research Agency (ANR), the postdoctoral researcher will contribute to the modelling of interfaces whose properties vary over time. The aim of the project is to develop
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discrete choice modelling, behavioural data science or machine learning? Are you interested in developing the next generation of AI tools that accelerate scientific discovery while maintaining behavioural
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. This postdoctoral fellowship in the Arlotta lab involves computational analysis of large, multimodal single-cell datasets, as part of a collaborative project which also aims to generate AI and machine learning models
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doctoral candidate on the MSCA-DN DETECTIVE project. For rapid control of virus outbreaks, fast availability of antivirals is a major bottleneck. In DETECTIVE, innovative models will be used for setting up
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Dalhousie University | Halifax Mid Harbour Nova Scotia Provincial Government, Nova Scotia | Canada | about 17 hours ago
week. Course Description: A variety of statistical models which are useful for the analysis of real data are discussed. Topics include: generalized linear models, such as logistic regression and Poisson