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communication skills. • Track record of conducting original research and publishing in peer-reviewed scientific journals. Preferred Qualifications • Experience in remote sensing or machine learning applications
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Primary Work Address: Dept. of Genetics, Boston, MA, 02115 Current HHMI Employees, click here to apply via your Workday account. About the Lab: The Walter Laboratory (https://walter.hms.harvard.edu
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mathematical foundations of data science, machine learning and/or artificial intelligence. Preference will be given to candidates studying either the application of data science/ML/AI to problems in
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of strains) to in-field testing of up to 800 strains. The scale and standardized approach will create a unique foundation for advanced data analysis, including AI, machine learning, and statistical modelling
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 15 hours ago
Posting Details Posting Details Vacancy Number PD-0029 Working Title CSE Postdoctoral Scholar - (Pooled) Position Number PD0033 Location of Workplace Main UNCW Campus Brief Summary of Work for this
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lab’s website https://sites.duke.edu/corinnelinardiclab/ . Be You Work Performed · Perform literature reviews to guide research · Design and execution of standard in vitro assays ongoing in the lab
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focuses on single-cell genomics, biotechnology, and bioinformatics. The project involves transcriptomic and genomic profiling of single microbes. The post-doc will work on machine and deep learning methods
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partners across the aerospace industry. BladeUp aims to transform wind turbine blade design and manufacturing using advanced modelling, machine learning and high-performance simulation, while Gradient Shells
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), electrophysiology, genotyping, brain stimulation (tES, TMS), computational modeling and/or machine learning. For all our projects, we seek post-doctoral researchers who aim to take leading roles in projects
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statistics and machine-learning–assisted approaches, in close interaction with data science collaborators Active collaboration across disciplines spanning spectroscopy, soft matter and nanomaterials