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Field
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, computational, and machine learning/AI methods, with a particular emphasis on deep learning approaches improve our understanding and prediction of infectious disease dynamics. Projects are also strongly grounded
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 7 hours ago
to perform research within two of Jönsson’s grants. The work will entail modelling, data analysis, processing of satellite imagery, and other types of research. Tasks will also include writing and data
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seeking a postdoctoral appointee to join our team focused on designing the communication infrastructure for next-generation High-Performance Computing (HPC) and Artificial Intelligence (AI) systems
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and processing strategies aimed at achieving high performance, cost-effectiveness, and manufacturability. The selected candidate will leverage the capabilities of the Materials Engineering Research
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programming language (R, Python, or Perl) and experience working in Linux and/or high-performance cluster environments. A strong ability to perform analytical reasoning to extract biological insights from data
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(100% FTE), 12-months/year, with an initial term appointment of ~4 years (48 months), renewable depending on funding and/or satisfactory performance. Start date The start date is negotiable and the
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work in certain research areas or perform certain safety sensitive job duties, you must enroll in the occupational health medical surveillance program . Application Materials Required: Cover Letter
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mathematics and engineering. The Interpretable Machine Learning Lab has dedicated access to high-performance CPU and GPU computing resources provided by Duke University’s Research Computing unit and state
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the emerging bioeconomy by (1) reducing agricultural inputs, (2) increasing biomass production, and (3) improving high value bioproduct yield across the major bioenergy feedstocks within the genus Populus
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independently associated with different projects related to non-destructive testing and evaluation of civil infrastructure. The candidate is expected to perform both fundamental and applied researches and need