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at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks. The candidate must hold (or about to complete) a PhD
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Faculty of Health & Life Sciences The post The UK Hub for One Health Systems (“The Net Zero Hub”) is an NIHR/UKRI-funded initiative addressing the NHS’s goal to reach Net Zero emissions by 2045
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The Strategy, Statecraft & Technology: Changing Character of War Centre (SST-CCW) at Pembroke College, Oxford, invites applications for the role of Strategic Net Assessment Research Fellow. This is
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Details Title Postdoctoral Fellowships in Networked Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position Description The John A
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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in a connected context, investigating how accelerators can be designed, integrated, and scaled for emerging large scale and networked applications. We are interested in new ways of virtualising
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Objective The objective of the BC NEIHR Postdoctoral Fellowships program is to provide funding to Indigenous (First Nations, Métis or Inuit) postdoctoral applicants who wish to conduct research within a British Columbia (BC) host institution. Recipients of these fellowships demonstrate...
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in the area of distributed radar we are looking for a research fellow with expertise and experience in this area. Experience with highly accurate time synchronization of data received by a net of radar
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, to develop a novel end-to-end neuromorphic design approach based on spiking neural networks (SNNs). The project aims to develop novel computing solutions for the defence and security sector, that can
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project focused on “Learning high dimensional dynamical systems on dynamical networks”. There is ample room for exploring sub-topics depending on the interest of the candidate. The focus will be on deriving