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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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that influence the development, intensification, and persistence of extreme events, using observational datasets, machine learning, and Earth system modeling. The successful candidate will work with observational
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Devoy McAuliffe, both of whom have long track records in logistics and financial modelling of offshore wind. Please note that Garda vetting and/or an international police clearance check may form part of
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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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successful candidate will conduct research focused on meso- and macroscale mathematical modeling of next-generation batteries, while leveraging advanced artificial intelligence (AI) tools to accelerate
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the direction of Dr. Jun Xu. The postdoctoral researcher will work on fundamental and applied research at the intersection of battery mechanics, electrochemical-mechanical-thermal modeling, physics-based
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are especially encouraged to apply. Extensive experience with protein expression and purification is required. Experience with cryo-EM and model building is desirable but not required. Position and Environment
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“fit” with our program model; 5. Identification of potential training faculty mentors; 6. Transcripts from all educational institutions attended; and 7. Three letters of reference, including one from
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) and involves the weather resolved-logistics modelling that feeds the LCOE calculations. The UCC logistics models simulate installation, operation and maintenance, and decommissioning task by task
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system integration A record of peer-reviewed publications Experience with AI/ML-based control, such as reinforcement learning, learned or model-predictive control, or vision-guided manipulation Experience