455 computer-programmer-"Multiple"-"Humboldt-Stiftung-Foundation"-"U.S"-"O.P" 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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distinctive environment for the support and training of Medical Research Council (MRC) funded PhD students across our partner institutions. You will work closely with the Doctoral Training Programme manager to
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to disseminate research findings. Write supporting documents to contribute to and support the work of the research group Read academic papers, journals and textbooks to keep abreast of developments. Plan
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application statement. Essential criteria Must have a technical background with experience in the software development lifecycle. Previous experience as a software engineer or developer is crucial (assessed
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GIF CDT: A Novel Gas/Liquid contactor for Direct Air Capture and industrial CO2 capture technologies
applications for the following project. This advert will close when a suitable candidate is identified, so early application is encouraged. The CDT boasts an exciting and challenging programme specifically
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and workshops to campus-based students, and to produce and mark assessments on core and optional modules across our Data Science UG and PGT programmes such as: Responsible Data Science lab; Data Science
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their home countries and beyond. Training and Career Development As a PhD student, you will join the Faculty of Science Graduate School, which provides a comprehensive programme of professional skills training
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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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Neuro-Symbolic Methods for Explanation-Based Reasoning with Large Language Models