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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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responses. You will investigate how novel microproteins control immune-cell activation, cytokine networks, and resolution of inflammation, integrating mechanistic experimentation with large-scale molecular
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, multimodal, and agentic AI, as well as foundation models, with a focus on geometric deep learning, large-scale knowledge graphs, and large language models. Fellows will also have the opportunity to apply
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 7 days ago
18 Sep 2026 Job Information Organisation/Company AUSTRALIAN NATIONAL UNIVERSITY (ANU) Research Field Engineering Chemistry Engineering Researcher Profile Leading Researcher (R4) Application Deadline
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) [Appointment period: each for two to twelve months] Duties The appointees will assist the project leader in the project - “A large model based data agent for data science and artificial intelligence education
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 5 days ago
solar cells and large-area flexible modules, with a focus on scalable deposition, device fabrication, module integration, characterisation and stability. The role will involve close collaboration with
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information on specific faculty research programs are available on the department website at: https://www.math.colostate.edu . Salary range: $60,000-$65,000 Essential Job Duties: Research: On a continuing basis
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early-life origins of childhood leukemia, with the goal of developing strategies for disease prevention. You will have opportunities to analyze large-scale germline genotyping data, as well as tumor whole
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research infrastructure. Apply advanced statistical, machine learning and data engineering methodologies to large-scale, longitudinal datasets, contributing to innovative melanoma and skin cancer research