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Field
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/Siemens Simcentre to develop AI-assisted programme and models for powertrains and propulsion systems within the transportation and energy sectors. Skills Demonstrable ability to work cooperatively as part
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with cutting-edge models and technologies—including patient-derived glioblastoma organoids, CRISPR-based screens, mass cytometry, and advanced microscopy—to dissect these complex biological processes
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for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria 1. PhD degree in Engineering, Computer
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advanced patient-derived tumour models and use them to test promising therapeutic targets that exploit vulnerabilities caused by loss of the SMARCB1 gene. This role offers an excellent opportunity to further
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interpretation of atmospheric circulation in high-resolution reanalysis data, idealised model simulations and a state-of-the-art weather forecasting system. The post-holder will have the opportunity to teach
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and/or flow cytometry-based readouts of infection Experience with biochemical assays (e.g. Western blotting) Experience handling/processing samples in vivo infection models and/or human samples
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developmental science. The successful candidate will contribute to a major research programme investigating how educational experiences shape mental health from childhood into adulthood. The role involves working
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of support for health and wellbeing including discounted membership for our state of the art sport and gym facilities and access to a 24-7 Employee Assistance Programme. • On site nursery is available plus
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in related program areas to gain exposure to and build knowledge on experimental/research activities and approaches, in order to improve conceptual development and industrial implementation. Identify
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Job Info Job Identification 631 Job Category Academic and Research Posting Date 07/15/2025, 10:30 AM Apply Before 07/22/2025, 11:59 PM Job Schedule Full time Job Shift Standard Locations Computing