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Job Title Postdoctoral Research Associate Agency Texas A&M University Department Large Animal Clinical Sciences Proposed Minimum Salary $4,166.67 monthly Job Location College Station, Texas Job Type
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prepare presentation materials on their research topics and/or related scientific literature that may be presented to small and/or large groups. Opportunities to Contribute Analyzes research data
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projects in their field of expertise. Assists with the preparation and cleaning of worksite. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 5 hours ago
. One main research activity is participation in the ATLAS experiment at the Large Hadron Collider (LHC) at CERN. We invite applications for a postdoctoral position (f/m/d) in experimental particle
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, computational biology, genomics, or a related quantitative field. You will have strong programming skills (Python, R, Linux) and experience analysing large-scale sequencing datasets, ideally RNA-sequencing data
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development, validation, and implementation of artificial intelligence models using multimodal imaging and clinical datasets. What You'll Do: Data Acquisition & Management Organize, curate, and maintain large
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AI methods, especially modern large language models or agentic AI systems. Experience or interest in developing open-source research software. Experience with IRB protocols and data privacy practices
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learning, decision-making, belief updating) Coordinating large database of computational task data for harmonized analyses Modeling individual differences and within-person change over time in a longitudinal
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, machine learning, generative AI and related fields as part of the DataSig II grant “High order mathematical and computational infrastructure for streamed data that enhance contemporary generative and large
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of research investigating cancer risk and prevention. The appointee will work closely with Professor Ruth Travis, Dr Karl Smith-Byrne and other members of the research team, using large-scale epidemiological