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these questions, we will combine in vitro culture systems with in vivo murine models of infection, complemented by transcriptomic and metabolic profiling approaches. This integrative strategy will allow us to
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- 10 Additional Information Benefits Work in a dynamic group. Eligibility criteria Good command of English. Knowledge in project field. Selection process Please see https://resurseumane.ase.ro/non
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of English. Knowledge in project field. Selection process Please see https://resurseumane.ase.ro/non-gaussian-self-similar-processes-enhanci… Website for additional job details https://resurseumane.ase.ro/non
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, aimed at revolutionizing the way osteoarthritis is understood, diagnosed and treated by developing multimodal patient-relevant endpoints, advanced predictive models, and next-generation clinical trial
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knowledge of Computer Science and Informatics (simulation, optimisation and modelling tools) and Product and Processes Engineering (space engineering; launch vehicle design; system design; design for demise
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California State University, San Bernardino | San Bernardino, California | United States | 1 day ago
Work Study: Federal Work- Study Student Information: https://www.csusb.edu/financial-aid/prospective-current-students/federal-work-study/federal-work-study-student Eligibility Requirements Must
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: Strong proficiency in developing and deploying machine learning models and AI systems in production environments, with deep knowledge of contemporary AI frameworks, tools, and best practices. Software
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tracking for microbes and microgels in phase-contrast and fluorescence images Optimise these models and pipelines for real-time performance and integrate them into an action–perception loop that drives
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Department: Computer Languages and Systems Research profile: Model-driven engineering and intelligent and inclusive systems in health and education Position number: DF03222 Area of knowledge: Computer
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classification and lineage tracking workflows for multi-species time-lapse data Optimise models and pipelines for real-time performance, enabling adaptive imaging and feedback Develop active learning and