48 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Hereon" PhD positions at Newcastle University
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Date: Friday 8 May 2026 Sponsor: EPSRC and RHS Supervisors: Dr Ross Stirling and Dr Gavin Stewart at Newcastle University with Dr Nicholas Cryer and Dr Mark Gush (RHS) alongside Kevin Barton (RBA
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Supervisors Dr Vipin Sathi Dr Essam Ghadafi Eligibility Criteria You must have, or expect to gain, a minimum 2:1 Honours degree or international equivalent in a relevant subject or subject relevant to
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Start Date: September 2026 Award Duration:3.5 years Application Closing Date: 17 April 2026 Sponsor: School of Computing Supervisors: Dr Vipin Sathi Dr Essam Ghadafi Eligibility Criteria You must have, or
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Supervisor: Dr Rehmat Ullah , Internal Co-supervisor: Dr Husnain Sherazi , External Co-supervisor: Dr Ahmed MA Sayed Eligibility & How to Apply For more information on eligibility and how to apply please visit
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solid handling processes. The successful PhD student will be co-supervised by Professor Kamelia Boodhoo and Dr Fernando Russo Abegão from the Process Intensification Group at Newcastle University, with
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microstructures on the hydrodynamics of reactants in chemical and/or catalytic reactions and solid handling processes. The successful PhD student will be co-supervised by Professor Kamelia Boodhoo and Dr. Fernando
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supervised by Dr Jenny Tomlinson (Fera Science Ltd) and Dr Thomas Howard (Newcastle University), combining expertise in synthetic biology, molecular diagnostics, and plant health. You will be based at York
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research, molecular biology, plant science, and working closely with a large UK life science company. You will be supervised by Dr Jenny Tomlinson (Fera Science Ltd) and Dr Thomas Howard (Newcastle
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field of multiphase flow modelling. Contact Dr Nadimi (sadegh.nadimi-shahraki@ncl.ac.uk) for more information. Number Of Awards 1 Start Date 1st October 2026 Award Duration 4 Years Application Closing
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) and Edge Computing are undergoing a major transformation. Systems that once relied heavily on cloud-based processing and passive data collection are evolving into distributed networks of intelligent