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the unique abilities, backgrounds, and beliefs of all. 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
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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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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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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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match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you
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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
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Overview Accurate modelling of the solar atmosphere is essential for understanding the energy flow and accumulation that underpin the heating of the solar chromosphere and corona, and for uncovering
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Manufacture and Modelling of Mechanical Metamaterials School of Mechanical, Aerospace and Civil Engineering PhD Research Project Directly Funded UK Students Dr Felicity Freeman Application Deadline
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rig. Collaborate closely with industrial and academic supervisors to embed modelling capabilities in C&W. Train company staff in the use of simulation tools and performance-informed design methodologies
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Event Simulation (DES), supply chain and factory flow optimisation and data analytics such as cost modelling to support decision-making within a manufacturing environment. You will be expected to deliver