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online pre-application workshops to provide guidance on the application process. Watch recordings. Start Date October 2025 or January 2026 Award Duration 4 years Application Closing Date 12th September
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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. Specific requirements of the candidate Essential Skills: A background in chemistry, physics, materials science, engineering or related fields. Enthusiasm for multidisciplinary research and problem-solving
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global warming, but it remains unclear whether it would be effective in practice. CCM relies on the idea that emitting small amounts of aerosols at high altitude could modify the optical or physical
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date. If you have any questions about this vacancy or the application process, please contactJan Wojtecki, Laing O'Rourke Centre Manager by email at jw463@cam.ac.uk . For queries of a technical nature
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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to symmetry breaks in the patterning process. A hybrid modelling approach integrating the dynamics of a core network while utilising a virtual template from experiments for cellular growth and division will be
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are essential. An additional background in analytical chemistry or physics, as well as experience with practical lab work (e.g. from a previous Masters degree) are advantageous. Interested students are strongly
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to work in an interdisciplinary team are essential. An additional background in physics or experience with practical lab work are advantageous. Interested students are strongly encouraged to contact
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these, and then determine their imaging performance in bespoke optical systems in the visible light range. Applicants should have, or be expected to gain, a high (1st or 2:1) honours degree in Physics or Electrical