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| Who You Will Work With You will be mentored by Professor Ximena Nelson and located within the School of Biological Sciences, University of Canterbury, Christchurch. For more information about our
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subject to a Disclosure and Barring Service check. ABOUT THE TEAM The applicant will be guided and supported by Dr Angela Rodrigues (Associate Professor, Northumbria University) in a team consisting of
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of Electrical Engineering Ali Malkawi, Professor of Architectural Technology Jarad Mason, Associate Professor of Chemistry & Chemical Biology Vijay Janapa Reddi, John L. Loeb Associate Professor in Electrical
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the group of Associate Professor Stefan Vogel where the research will be focused on DNA-programmed and –encoded chemical and enzymatic reactions encapsulated within lipid nanoparticles. Research Project
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as well as subsequent publication of lectures and/or associated writings, the Banister Fletcher Global Fellowship intends to establish a body of groundbreaking research that will constitute a reference
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keyword-based search and SPARQL querying. EPRESSO will build on and extend existing frameworks and systems such as SOLID, NSS, Dataswyft/HAT, gtk-gnutella, Gaian DB. You will be working with Professors
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4 PhD Fellows in Deep Learning at Visual Intelligence Research Centre and UiT Machine Learning Group
at Visual Intelligence and UiT Machine Learning Group members Professor Michael Kampffmeyer: michael.k.kampffmeyer@uit.no Professor Fred Godtliebsen: fred.godtliebsen@uit.no Associate Professor Elisabeth
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Call for Outstanding Global Postdoctoral Fellows in the Biomaterials and Regenerative Medicine Group
: Professor & Associate Dean, School of Biomedical Sciences and Engineering, SCUT 2018–2021: Tenured Associate Professor, Department of Biomedical Engineering, The Chinese University of Hong Kong 2012–2018
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(UN’s Inter-governmental Panel on Climate Change). The staff consists of 40 professors and associate professors, in addition to postdoctoral fellows, PhD students, researchers, technical- and
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Professor Joanne Ngeow. The Research Associate/Fellow, Bioinformatics will play a key role in analyzing large-scale genomic and clinical datasets to uncover genetic factors contributing to cancer