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to chemo/radio-therapy and therapeutic/preclinical DDR inhibitors within a cohort of matched GSC heterogeneity models within the Sheffield Living Biobank of patient-derived primary glioma stem cell-like (GSC
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Eissa Application Deadline: Applications accepted all year round Details Artificial Intelligence (AI) is transforming healthcare by enabling data-driven decision-making and predictive modelling. Engineers
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the Promotion of evidence-based practice. Act as a role model and resource for advice, support and guidance, signing posting apprentices and students where required to the appropriate Student support services
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Overview Are you experienced in using applied maths to model an acoustic problem and analyse data? Do you enjoy working collaboratively? This role offers an exciting opportunity to apply your
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Overview We have an outstanding opportunity to make an impact in modelling of particulate processes for the pharmaceutical industry. We aim to create models for powder-based manufacturing
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. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage
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the University of Sheffield. We take an innovative approach with an emphasis on interdisciplinary research using 2D and 3D models of cancer to test novel therapeutics for cancer. The principal aim of this exciting
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innovation base in advanced materials science, an area which is fundamental to all industrial sectors and the national economy.The Royce champions nine research areas coordinated through a hub and spoke model
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Overview This highly interdisciplinary position will focus on the modelling of paediatric bone across a wide age range (0-16 years) through the creation of digital twins based on paired CT and MRI
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apply your mathematical modelling, coding, and ultrasound instrumentation expertise to develop and implement innovative solutions for sensing particulate materials within a dynamic business environment