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                to accommodate potential waves of coastal migrants. With this in mind the objectives of the project are: Enhanced Population Exposure Assessment: Improve existing methodologies for assessing population exposure 
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                Cork’s campus. The candidate should hold a PhD degree in Computer Science, Engineering or related discipline, with a good track record of publications. Ideally, they will have experience in artificial 
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                . The candidate should hold a PhD degree in Computer Science, Engineering or related discipline, with a good track record of publications. Ideally, they will have experience in artificial intelligence or related 
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                this in mind the objectives of the project are: Enhanced Population Exposure Assessment: Improve existing methodologies for assessing population exposure to sea-level rise and ESL events at small area 
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                available treatment. In a secondary objective aimed at providing mechanistic understanding, the candidate will identify drug-drug interactions and study the cellular mechanisms at play in induced pluripotent 
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                on the innovative principle of powder charging and acceleration in a customised electrostatic field. The ultimate objective is to design, test and propose a new, more flexible and scalable metal additive 
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                their entire life cycle with improved marine data accessibility. As part of this overall project goal, this research role will focus on two key objectives: Salary Range:€46,305 -€54,307 Per AnnumPer Annum 
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                making supporting Age friendly Ireland’s Strategic Objectives on driving a data-driven approach by Measuring, Monitoring and Sharing the Learning and informing national policy related to aging well. By 
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                an opportunity to address these fundamental research challenges through original scientific investigation. The objective is to conduct research that advances our understanding of satellite-based biodiversity 
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                knowledge and expertise in implementation. Open science & reproducibility: Sustained contributions to open-source (maintained repos, datasets/benchmarks), transparent experiment tracking, and high-quality