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Internal Number: 277925 Minimum Education and Experience: The candidate must have a Ph.D. degree in an area relevant to climate physics, atmospheric or ocean science, climate change, natural hazards, impact
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, which remains a major global health challenge and an important cause of liver related morbidity and mortality. Our laboratory has a strong history of developing innovative human models of viral infection
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certain type of treatment, with potential impact in clinical practice and cancer research. This position is linked to the project BIOEURECA:Next-gen biomarker discovery: foundation models for tissue spatial
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lab position (though has dry lab components!) involving the use of mouse models in an animal BSL3 facility. Previous BSL3 experience is not a requirement. Candidates with experience with mice, flow
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independent researc A solid background in batteries, battery management systems, battery SoX modeling, thermal management of batteries, battery lifetime estimation and development of experimental setups
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position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc / Modelling and Analysis of Integrated Power, Gas and Hydrogen
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of polymers and composites used in civil infrastructure, with an emphasis on understanding and modeling the effects of moisture, temperature, and environmental exposure on material performance and service life
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/ProvinceBucharestCityBucharestStreetPiata Romana no 6Geofield Contact State/Province Bucharest City Bucharest Website https://resurseumane.ase.ro/just-circle-measuring-and-advancing-circular-business-models-for-a-fair-and-sustainable
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across a range of application areas, including education and healthcare. As these systems are increasingly deployed in high-stakes environments, there is a growing need for machine learning models
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genetically diverse mice under a multitude of conditions, and (3) develop multimodal machine learning models and methods to determine signatures and biomarkers to understand mechanisms distinguishing