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the structure and robustness of the ecological networks supporting reef fish communities at different positions along depth, latitude, and longitude gradients; challenging these networks under hypothesized future
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depth-related plasticity in the physiology and behaviour of mesophotic reef fish. Identifying depth-related changes in the structure and robustness of the ecological networks supporting reef fish
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the most energy‐intensive infrastructures in modern economies, with their demand projected to rise sharply as digitalisation, artificial intelligence (AI), and cloud computing expand. This growth presents
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blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: A ‘Personal Statement’ (this
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computational modelling focused on achieving net-zero goals. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing Date 18th February 2026 Sponsor EPSRC Supervisors Dr Amir
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. This position provides a unique chance for a highly motivated researcher to contribute meaningfully to innovative computational modelling focused on achieving net-zero goals. Number Of Awards 1 Start Date 1st
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) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables that connect floating wind turbines to the seabed remain one of the challenging
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). Additional project costs will also be provided. Overview Offshore Floating Wind (OFW) is key to unlocking deep-water renewable energy and achieving the global Net Zero targets. However, dynamic power cables
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for the ‘Course Title’ using the programme code: 8856F Leave the 'Research Area' field blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide the following
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opportunity to network and work directly with them as part of you PhD programme. Number of awards: 1 Start date: September 2026 Award duration: 3.5 years Sponsor: ESRC JUST Supervisors The core supervision team