10 machine-learning-"https:"-"https:"-"https:" Fellowship positions at University of Birmingham
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to writing bids Operating within the area of gravitational-waves and astrophysics Applying probabilistic inference to gravitational waves, including through machine learning techniques Modelling
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new ones Willingness to learn and apply new scientific techniques Ability to access and organise resources successfully Proficiency in commonly used software packages and experience of data analysis
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human-centric holistic change. The vision is to instil a culture of continuous learning and growth at LISI Rugby to achieve enhanced agility and sustainable productivity through its people. Please note
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will support the delivery of Peer Assisted Learning Strategies (PALS-UK) in a large-scale Education Endowment Foundation funded effectiveness trial. PALS-UK is a research-informed approach to supporting
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facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision, with our
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-performance computing facilities, which will ensure UK-leading compute capability. These investments build on a major recent expansion of our academic staff and investment in our teaching and learning provision
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learning provision, with our Collaborative Teaching Laboratory, which opened September 2018, already revolutionising how we teach undergraduate practical chemistry. The University is a family-friendly
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to learn new techniques. Experience with data processing, analysis and interpretation. Ability to keep up to date with new developments in relevant research fields. Ability to work both independently and as
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and strong teamwork skills, with a willingness to work as part of a large multi-disciplinary team Strong computer programming skills. Specifically, experience in the use of Matlab and/or Python
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, the post will support the new EPSRC Manufacturing Research Hub in Robotics, Automation & Smart Machine Enabled Sustainable Circular Manufacturing & Materials (RESCu-M2) led by the University of Birmingham