25 evolution "https:" "https:" "https:" "https:" "https:" "Newcastle University" uni jobs at Nature Careers in France
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program leveraging Artificial Intelligence (AI) and computational approaches to accelerate mechanistic understanding, target identification, and therapeutic development, as part of the ENACT program (https
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(https://ai-sandbox.list.lu/ ), an innovative environment dedicated to the trustworthiness evaluation of LLMs and AI Agents. The traineeship will focus on supporting the development, integration and
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Department of Geography and Spatial Planning (https://dgeo.uni.lu ) and participate to its activities Your profile Master's degree in human geography, spatial economics, or a quantitative social science field
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(https://research.pasteur.fr/en ). Located in central Paris, it offers an unparalleled research environment with state-of-the-art laboratories and core facilities (technological platforms, animal
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, information technologies, and space resources, advancing Luxembourg’s ambition to be a leading knowledge-based, sustainable and resilient economy. Do you want to know more about LIST? Check our website: https
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detection. Objectives Survey and Taxonomy Development: Identify and classify known smart contract scam patterns (rug pulls, honeypots, liquidity drains, etc.) across major blockchain platforms. Dataset
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holidays per annum, flexible working hours, An environment encouraging curiosity, innovation and entrepreneurship in all areas. Apply online https://www.list.lu/en/jobs/interns/ Your application must include
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INT-26028 INTERNSHIP IN ORGANOMETALLIC CHEMISTRY FOCUSED ON DESIGNING NOVEL CATALYSTS FOR ADDITIV...
and entrepreneurship in all areas. Apply online https://www.list.lu/en/jobs/interns/ Your application must include a motivation letter oriented towards the position and detailing your experience
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Automated Generation of Digital Twins of Fractured Tibial Plateaus for Personalized Surgical plannin
of this project requires the design, development, and training of an artificial intelligence algorithm capable of automatically segmenting the bony structures of both healthy and fractured tibial plateaus
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, https://hal.science/hal-04930868 . [2] Peyré, G., Cuturi, M., et al. (2019). Computational optimal transport: With applications to data science. Foundations and Trends in Machine Learning, 11(5-6):355–607