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Field
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, remanufacturing, repurposing and recycling to each other for the realization of an agile network. Various machine learning approaches will be used here. Your tasks are: Requirements definition, survey and
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, individualized education. Faculty are committed to creating a student-centered learning community that embraces multiple viewpoints. It is a department in which learning, research, and professional activity inform
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University of New Hampshire – Main Campus | New Boston, New Hampshire | United States | about 6 hours ago
of agroforestry, along with direct experience in outreach and engagement. Demonstrated success with grant writing and securing funding from diverse external sources to support research and outreach activities
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interdisciplinary and experiential learning to join the Source Project, Binghamton University's distinctive first-year research program in the Humanities and Social Sciences. The position begins August, 2025. PhD in
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the Laboratory of Molecular Therapeutics. The appointment is annually renewable and depends on available funding. The successful candidate will lead innovative research in neurodegeneration, secure competitive
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We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning
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novel sensing approaches to combine with machine learning algorithms to solve real-world problems in food manufacturing. You will have sound knowledge in electronic engineering, embedded systems design
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(NEAT) lab, including oversight of staff, project management, and adherence to all safety protocols. The successful candidate will also expand the user base of the NEAT facilities by developing
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, scientific machine learning, and partial differential equations to create a new approach for data-driven analysis of fluid flows. The successful applicant will have experience in one or more of these subject
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well as new projects. The position may additionally involve implementing data analytics, including machine learning. The successful candidate will have a Ph.D. or equivalent degree in Bioengineering