355 computer-programmer-"FEMTO-ST"-"FEMTO-ST-institute"-"FEMTO-ST" positions at University of Sheffield in United Kingdom
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: on c.frias@sheffield.ac.uk Next steps in the recruitment process It is anticipated that the selection process will take place two weeks following the closing date. This will consist ofan interview. We plan
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Improving Deep Reinforcement Learning through Interactive Human Feedback School of Computer Science PhD Research Project Directly Funded Students Worldwide Dr Bei Peng, Dr Robert Loftin Application
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contexts. The project will build on both consolidated knowledge in the history of technologies, and the most recent literature on the perception of digital and computer-assisted creative outputs
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, reactor design and computer programming. Entry requirements: Upper second class degree in Chemical Engineering, Materials Science and Engineering or Chemistry. Funding Notes Department contribution (fee
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-resolution imaging and reconstruction of neural tissues (see https://ist.ac.at/en/research/siegert-group/). Leveraging computational tools such as machine learning and topological data analysis, we will
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virus serotype 9 (AAV9) based gene therapy approach to address the underlying pathogenesis of C9ALS/FTD. Experimental Approach: The plan is to develop a novel therapeutic cassette that can be efficiently
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consist of an interview. We plan to let candidates know if they have progressed to the selection stage following the closing date. If you need any support, equipment or adjustments to enable you to
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clinical and non-eating-disordered individuals. However, it does not work to the same degree for all individuals, and is not implemented in the same way by all clinicians. This research programme will
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workforce training, and computer-integrated systems, has become the primary pathway for transforming and upgrading manufacturing industry in the coming decades. Real time monitoring of cutting tool conditions
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processing, data analysis, data-driven modelling, optimisation and computation algorithms, machine learning models and neural network structures, as well as strong skills and experiences in computational