627 phd-in-architecture-interior-design-built-environment Postdoctoral positions in Uk
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collaborative research environment. Education, Qualifications and Experience We are looking for outstanding candidates with a PhD in physics, electrical engineering, applied mathematics, computer science, or a
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community. Our University Strategy is built on three pillars of research, education and wider student experience, but also on our keen sense of community and of inspiring others to achieve their potential
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cytometry. Our experimental programme is designed to interface and synergise with simultaneous theoretical developments of computational models and novel methods for analysing system purposes
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. This is part of your personality: Completed doctoral/PhD studies in the field of chemistry, pharmacy and similar fields Excellent knowledge in computer-aided drug design and medicinal chemistry Publications
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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fingerprint identification (RFFI) for Wi-Fi. You will design novel RFFI algorithms and further evaluate their performance using practical testbeds such as software-defined radio platforms. You should have a PhD
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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on modelling of the transport, electrochemistry, and mechanics of next-generation lithium/air electrode materials and cell architectures. Using input data from experiments, the post holder will develop and
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an awareness of University structures, policies and procedures and relevant issues in the higher education, research, social and political environment Knowledge, Skills and Experience Ability to work well as
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project aims to address the current limitations of traditional frame-based sensors and associated processing pipelines with a new family of algorithmic architectures that mimic more closely the behaviours