395 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at University of Sheffield
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Application/interview Good working knowledge of a relevant computer programming language, for example Matlab, Python or C/C++. Essential Application/interview Good working knowledge of software packages
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of the research programme as discussed with the fellowship supervisor. Contribute to research group planning. Coordinate and liaise with other members of the research group over work progress. Supervise research
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”. This exciting opportunity involves leading the development of advanced data-driven mathematical and computational models to suppress turbulence in pipe flows, contributing to pressing engineering efforts toward
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of lithium-ion battery electrodes. Main duties and responsibilities Carry out a plan of experimental research, contributing as a team member to the group and Xerode project. Develop new and/or modify existing
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/MSc or equivalent in Computer Science or Software Engineering (assessed at: application/interview). A track record in software testing, testing for autonomous systems, or autonomous driving system
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higher education (HE) institution, except for anyone who has participated in the Work Programme. You may still be eligible if the apprenticeship will allow you to acquire substantive new skills and there
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researchers regarding legal, ethical and other compliance requirements for research in the public benefit. ● Ensure Y&H SDE maintains legal and ethical compliance with the Secure Data Environments programme
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A search for pharmacological inhibitors of a cancer-associated adhesion GPCR in the zebrafish embryo
support will be provided throughout via an interdisciplinary supervisory team and an established Advisory Programme. The student will join the well-funded and friendly Whitfield lab (see blog). The varied
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of cost centres and external project accounts using the finance system Plan tasks in accordance with known deadlines, including external funder requirements, monthly and annual University financial
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Adopter programmes, where appropriate. We are looking for an enthusiastic, motivated graduate in (health) Data Science, Computer Science or related field who is interested in the deployment, user acceptance