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, well known to successfully impart long term shelf stability. Successful advancement of the sustainability of emulsification technology (process and ingredients) will require meeting the droplet size
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soft robotics. We are looking for an exceptional individual with a strong science and engineering background and a keen interest in the design, finite element analysis, fabrication, and experimental
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degree in Computer Science or a related discipline. Experience in stochastic and ODE modelling is required. Knowledge of MATLAB/Python is desirable. Understanding of psoriasis pathology is desirable
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Comparing toxicological response in fish and human cells in vitro: A step towards enhanced understanding of stress biology across vertebrates DoS: Prof Awadhesh N. Jha ([email protected] , tel
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This is a full-time, funded PhD opportunity in the Faculty of Science and Engineering. It is open to both home and overseas students. Please note that only home fees will be covered - eligible
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This PhD studentship is an exciting, fully funded opportunity to work as part of an internationally renowned scientific and engineering team to develop a new innovative technology to meet and
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expression information in cancer cells, holds transformative potential for understanding cancer biology. However, its advancement is hindered by data scarcity, which restricts the application of advanced
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research groups at The University of Manchester are working with UK and international partners, investigating the science and technology necessary to deliver a fusion power plant by 2040. In the Digital
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, leading to novel engineering applications in sustainable architecture and green energy. We are seeking a motivated PhD candidate with a background in mechanical engineering, mechatronics engineering, civil
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-class or upper second-class (2:1) degree (or equivalent) in a relevant discipline (physics, mathematics, computer science, AI, data science or statistics). Strong candidates with sports science