344 programming-"the"-"DAAD"-"EURAXESS"-"U"-"UCL" Postdoctoral positions in United Kingdom
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currently leading the NeuroHand project—a UKRI-funded programme focused on the development of a soft robotic exoskeleton glove for stroke rehabilitation. The role provides an exciting opportunity
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holder will be expected to work within the context of the ongoing research programme in the lab, to share their technical, analysis, and conceptual knowledge with other lab members, and to contribute
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involve undertaking full time research in grid connected large wind energy system dynamic modelling, control and analysis. In particular, the objective of this research programme is to lay the foundations
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statistics or economics, with experience in epidemiological analysis, statistical programming (e.g. R ). The post is available for up to 26 months, full-time, with hybrid working from our Liverpool campus
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to meet deadlines. You will test hypotheses, analyse scientific data from a variety of sources, review and refine work programme as appropriate, collaborate in the preparation of scientific reports and
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play a key role in a project that will develop novel computational means for the objective evaluation of purpose in biology. These theoretical efforts are paired with a bespoke experimental programme
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Assistant (PDRA). The Opportunity: The aim of the project is to characterize genes that control the programmed cell death and cell separation that occurs during the breakdown of the maternal tissues
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. Following the demonstration of single bit devices and small digital arrays, we are now expanding the research programme to include investigation of the feasibility of analogue devices for use as elements in
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team, analysing and interpreting spatial transcriptomic data. You will work on the Colorectal Cancer - Stratification of Therapies through Adaptive Responses (CRC-STARS) programme, developing and
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- Stratification of Therapies through Adaptive Responses (CRC-STARS) is a CRUK strategic programme. Through multiomic and spatial biology exploration of temporally distinct samples from clinical trials and advanced