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, domain adaptation, multimodal AI) to analyze plant and environmental data. Support the integration of AI algorithms with robotic and sensing systems for real-world deployment. Assist in experimental design
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Sciences Compensation Plan. UC Salary information can be found here: https://www.ucop.edu/academic-personnel-programs/compensation/2024-25-academic-salary-scales.html . Application Window Open date: June 12
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systems. Key Responsibilities Develop graph-based (multi-)omics analysis algorithms Benchmark graph-theoretic against graph-ML approaches Analysis of food-related (multi-)omics data Your Profile The ideal
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. - Contribute to the development of risk-prediction tools, biomarker panels, and precision-medicine algorithms. - Participate in NIH-funded translational studies involving spatial multi-omics, proteomics
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-edge control algorithms for the security and resilience of cyber-physical systems? We welcome you to apply for a PhD position in the SecReSy4You Doctoral Network, a European Union-wide Doctoral Network
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
, or other novel/emerging pollutants - Developing / implementing advance machine learning algorithms for environmental datasets - Attention to detail and careful documentation of work products such as How
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optimize algorithms for data-intensive research. Deploy and maintain systems in both simulated environments and on physical hardware. Diagnose and resolve complex system and software issues. Execute feature
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• Produce research products such as well-documented algorithms and code, software, and research publications • Prepare results for publications, work with collaborators in writing publications, and, in some
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algorithms. Assist with implementation of software frameworks and data processing pipelines. Provide technical guidance to research teams on tools and methodologies commonly used in autonomy research. Document
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School. Responsibilities will span all stages of research, including collecting data of in both tabular and spatial formats, developing algorithms that clean and organize data, conducting statistical