176 algorithm-development-"Multiple"-"Prof" "NTNU Norwegian University of Science and Technology" PhD positions in United States
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. Responsibility: * Develop or integrate novel statistical methods and algorithms for analyzing large-scale -omics data, including gene regulatory network inference, cell lineage reconstruction, multi-dimensional
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) development of vaccines and therapeutics against a variety of infectious diseases. Working at the interface of basic, clinical and translational research, we collaborate with multiple laboratories at Duke as
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deep learning and scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest
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scalable deployment Collaborate with researchers, developers, and traders to improve existing models and explore new algorithmic approaches Design and run experiments using the latest ML tools and frameworks
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of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties and prepare manuscripts and presentations
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of multiple administrative data sets. Conduct data analysis (descriptive, bivariate, predictive, longitudinal, etc.). Write reports for funders and interested parties, and prepare manuscripts and presentations
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Computing (e.g., memristor modeling/simulation/manufacturing) and Edge AI related areas (e.g., AI algorithms, AI accelerator, VLSI). Detailed Position Information The Department of Electrical and Computer
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activities, with a focus on managing field research trials. Position Overview: The successful candidate will support the development of improved tomato cultivars by managing field trials, overseeing planting
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require the ability to craft research protocols, supervise, and/or train other research staff or students. Key Responsibilities/Duties 1). Conduct research and independent development of multiple projects 2
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institutional support, where innovation, curiosity, and collaboration are highly valued. The lab environment fosters intellectual independence while providing strong mentorship and career development