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Analysis and apply today! This work will advance novel research focused on sensor-based in-situ process monitoring, data correlation to end part quality, data driven machine parameterization, and data
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approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy, increase your marketability in
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, federal agencies, NGOs, or other approved facilities to accomplish your research goals, all while networking with top scientists in the field. You will enhance your education and training in marine energy
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world and have a strong collaborative network to support our students in a wide range of fields, from conservation to biomedical sciences. Our mission includes undergraduate education, research, graduate
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of Informatics, Imaging and Data Sciences. You will join an engaged digital health community at Manchester with over 100 across the division, and plugin to our network of over 400 who work across the University in
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networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go
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Basic Knowledge of RF systems and computer networks is a plus Preferred Qualifications - Experience with Linux – Knows C++ and Python - Knowledge of basic principles in one or more of the following
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research skills, explore academic research careers, and network with a multidisciplinary community of scholars. The goal of the program is to enhance your capacity to succeed in careers in academia and
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academic area, to develop and deliver teaching and support learning Use a range of delivery techniques to enthuse and engage students Participate in and develop external networks: for example, to contribute
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partners, including B&NES Council Public Health and Transport teams, Age UK, and the B&NES Affordable Food Network. Interviews for this position are expected to take place on the 14th or 15th July. Duties