43 assistant-professor-computer-"https:"-"https:" Fellowship positions at University of Birmingham
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Job Description Position Details School of Computer Science, College of Engineering and Physical Sciences Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is
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future of formulated polymers. We are seeking a Research Fellow in Computational Chemistry and AI/Machine Learning to advance the state of the art in understanding the degradation and biodegradation
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Postdoctoral Research Associate to join the Research Group of Dr Adam Michalchuk, funded by the US Air Force Office of Scientific Research. The position will be to develop and use computational models to explore
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Github • Using a range of computer systems to run fluid flow simulations and optimisation algorithms, including High Performance Computing architectures • Assist and mentor students and research group
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Job Description Position Details School of Computer Science Location: University of Birmingham, Edgbaston, Birmingham UK Full time starting salary is normally in the range £36,636 to £46,049 with
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candidate has either analytical or computational skills (exact diagonalisation or tensor network techniques) and research experience in either many-body quantum physics, statistical mechanics, statistical
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laboratory space, including a 200 m2 set of clean room facilities, and we maintain a Tier 2 site as part of the UK contribution to LHC world-wide distributed computing. The School of Physics and Astronomy is
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closely with civil engineers, computational modellers, physicists, and geophysicists to organise trials addressing scientific research questions. Work with asset owners will also concentrate on determining
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in the Mekong Delta. Led by Principal Investigator Professor Alexander M. Cannon, SoundDecisions makes the innovative claim that music is the mediator par excellence of cultural and economic decision
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analytical backbone of the programme. It develops sensor-enabled diagnostic cells, multi-modal data pipelines and hybrid physics-informed machine learning approaches to understand interfacial behaviour during