559 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" "The Institute for Data" uni jobs at University of Sheffield
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tasks or projects by collaborating effectively, delegating tasks as needed, and managing the overall work plan to successful completion. Essential Application / Interview Commitment to learning: You are
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(for example, Race Equality, LGBT+, Women’s and Parent’s networks). Recognition Awards to reward staff who go above and beyond in their role. A commitment to your development access to learning and mentoring
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-class facilities to collect your own data on advanced material systems . Your work will replace slow, subjective analysis with automated models that learn from the laws of physics, interpreting data
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Combining Experimental and Computational Biophysics to Understand the 'On/Off' Switches of Cellular Machines (C3.5-MPS-Ciani)
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to ensure deadlines and objectives for are met Career Development - Take responsibility for personal learning and professional development Carry out other duties, commensurate with the grade and remit
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will focus on three interconnected challenges: 1) Novel Inverse Reinforcement Learning (IRL) for Optimal Stopping Traditional IRL methods are not designed for noisy, trajectory-based optimal stopping
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learn new skills and undertake training when required - Application / Interview / Test Ability to recognise when problems occur and to decide on the appropriate course of action or escalate to senior
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. Essential Application Ability to learn quickly, to assimilate new information, and apply it to different situations. Essential Application / Interview Have a proactive approach and an ability to adapt
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. Essential Application/interview Knowledge of neurodisability/neurodiversity (e.g., autism, ADHD, learning disability, TBI, communication disorders) and how it impacts on experiences Essential Application
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device efficiency. There will be an opportunity to learn the tools required for parallel computing using graphical processing units. This will be used to maximise the computational throughput to enable