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. About the role As Postdoctoral Researcher in Big Data for Cardiovascular Population Health, you will play a key role in applying machine learning, health statistics, and large-scale medical and population
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28 Jul 2026 Job Information Organisation/Company University of Galway Research Field Computer science » Other Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application
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analysis of large datasets (e.g., bioinformatics, computational biology, data science, computer science, computer engineering, electronics, biostatistics, mathematics, physics, biomedical engineering, or
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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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psychological attributes), as well as secondary data analyses in large scale ongoing cohorts evaluating biobehavioral mechanisms by which optimism may lead to healthier aging. Additional work will include
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therapy studies in small and large surgical animal disease models. Acquires and analyzes physiological data relevant to the model system. Performs tissue harvest and molecular/imaging analysis (immunoblot
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy (CS3) to join an international team of scientists working as part of the global AGAGE network and a large
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Massachusetts Institute of Technology | Cambridge, Massachusetts | United States | about 13 hours ago
Posting Description POSTDOCTORAL ASSOCIATE, Center for Sustainability Science & Strategy, to join an international team of scientists working as part of the global AGAGE network and a large
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for streamed data that enhance contemporary generative and large language models”. They will be expected to conduct research which falls within the remit of this large-scale project and will have the opportunity
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computational experiments and data pipelines Experience analyzing complex experimental data and large-scale datasets using advanced quantitative and statistical methods Track record of independent scientific