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engine. Algorithm Development: Contribute to designing, prototyping, and testing algorithmic models for personalized content recommendations. System Evaluation: Support the evaluation of the recommendation
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supervision of a postdoctoral fellow to study breast cancer initiation and progression using a newly developed mouse model of breast cancer together with primary patient samples. You will additionally learn a
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a background in computer science and programming. The ideal candidate will have strong skills in web scraping, processing unstructured data (both text and images), and experience with modeling
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for engineering-driven AI innovation. Ideal candidates will have: (1) A PhD in Management Science and Engineering, Computer Science, or a related discipline, with a focus on AI/ML theory, algorithms
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Staff/Administrative Internal Number: 1033041 Position Summary This position is a joint appointment between the Lundquist research lab and the graduate training program, Plant Biotechnology for Health and
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expertise in conducting and analyzing scientific experiments involving rodent models and in basic molecular biology approaches. They should have a broad (college-level) knowledge of biochemistry, cell biology
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/services and communicate to resolve issues with equipment and supplies Minimum Requirements Knowledge equivalent to that which normally would be acquired by completing a four-year college degree program in
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matter expertise and high-performance computing resources for computational biology. The participant will gain experience in a coordinated program of in vitro studies, small animal model work, and
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developmental biology and stem cell biology to prostate cancer research. We use genetically engineered mouse models, explant cultures, and 3D organoid culture systems to study androgen signaling during prostate
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communities. Focused on student academic achievement and postgraduate outcomes Welcomes difference and models respectful interaction with others Engages with the community both within and outside of ACC Job