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, Machine Learning and Autonomy Computational Biology / Data Analytics Appl Deadline: 2026/06/17 11:59PM (posted 2025/06/17) Position Description: Apply Position Description The Skinnider Lab at Princeton
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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)function. Our approach develops methods to interpret high-performing deep learning models to distill knowledge that they learn from big, noisy biological sequence data. Our goal is to elucidate biological
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other projects depending on the interest of the successful candidate. Large data sets are already available for genome wide association analyses, gene set enrichment analyses, and analyses of long read
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driven individual with a PhD in data science, computer science, biomedical informatics, or a similar background with some experience working with large datasets. Prior experience with healthcare is not
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language processing), machine learning, or data science. Preferred Qualifications Expertise in Deep Learning and LLMs(Large Language Models): Knowledge in building applications and fine-tuning models like Llama 3
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Position Details Position Information Recruitment/Posting Title Post-doctoral Associate - Turfgrass Pathology Department SEBS-Plant Biology Salary Details $63,968 Offer Information The final salary
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Posting Information Posting Details Department Earth Marine Environmt Sci - 318000 Posting Open Date 05/23/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 12 hours ago
Posting Information Posting Details Department Earth Marine Environmt Sci - 318000 Posting Open Date 05/23/2025 Application Deadline Open Until Filled Yes Position Type Postdoctoral Scholar Position
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project, including experiment conception, preparation and setup, data collection, and data analysis and interpretation. Provide support to collaborative research efforts, including experiment design and