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and experimentation in the area of Multi-agent Agentic AI systems applied to 6G network and service management. By leveraging recent advances in Large Language Models (LLM) and other key agentic tools
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Details Title Postdoctoral Fellow – PKPD Modelling, Lung-on-Chip School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss: The Wyss Institute’s
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, and machine learning models for functional genomics research in mycobacteria. Responsibilities Responsibilities include: Develop and maintain Django-based web applications and databases for sharing
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by Renew Risk Ltd. (https://www.renew-risk.com/ ), offering opportunities to work with real offshore wind farm models and industrial datasets while addressing real-world challenges in collaboration
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rare-earth ions, with improved quality for optical, magneto-optical and laser applications. Different growth methods will be used such as Czochralski, Bridgman and Flux methods. Numerical modelling will
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2026. The individual will join a fast-paced team that uses rodent models to study mTOR-pathway related disorders (such as Tuberous Sclerosis Complex - TSC) and autism spectrum disorder (ASD
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-Valéry Montpellier 3 University / CNRS), and movement science experts (EuroMov DHM – University of Montpellier / CNRS). Its aim is to model the articulation between gesture and speech through the study of
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biology, and mechanisms of drug resistance. Research activities will utilize a combination of in vitro approaches, including cultured cell models, and in vivo experimental systems using animal models
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modeling. The aim of the thesis is to identify and quantify the mechanisms through which the characteristics of the sound environment—in particular the tempo, frequency, tonality, and intensity of music
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captured from UAVs. The research will address the design of AI models capable of combining heterogeneous sensor modalities, including RGB, thermal, LiDAR, acoustic arrays, GPR, and X-ray backscatter