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are seeking a highly-motivated and ambitious researcher with a strong background and experience in RF/microwave engineering, additive manufacturing, and AI modelling to work on cutting-edge research in
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learning models represent information internally and how their predictions can be made transparent, reliable, and clinically meaningful. This work will involve developing and applying interpretability
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in crystal synthesis, characterisation and modelling to study and generate a new understanding of MoSS. These advances will have applications across multiple sectors, including pharmaceuticals
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Postdoctoral Research Associate in System Design and Analysis ( Job Number: 26000042) Department of Engineering Grade 7: - £38,784 per annum (pro rata) Fixed Term - Part Time Contract Duration
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excellent quality” or “world leading”. The Role The successful applicants will have an excellent research record in any area of particle physics phenomenology, including beyond the standard model physics
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Specification Essential Criteria: Qualifications 1. An excellent first degree in area of specialism (e.g., cyber security, computer science, maths, or electrical engineering) 2. Normally, a PhD (or be close
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multisensorial communications and analytical visualization to mitigate emerging space risks. We welcome applications from those with research interests in the field of Space Innovation, Technology Governance
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are applicable to some visas. Person Specification Essential Criteria: Qualifications A good first degree in area of specialism (e.g., cyber security, computer science, or electrical engineering) A PhD (or be
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Etchells at Durham Biosciences and Dr Natasha Savage at the University of Liverpool, aimed at understanding cambium development in the model species Arabidopsis. The position is based in Durham in the lab
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will be supervised remotely by Dr Franchino and in person by Dr Paolo Ronchi, the Head of the Translational Chemistry and Innovation Technology Unit, within the Medicinal Chemistry and Drug Design