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control platforms, advanced microcontrollers, distributed control algorithms, and artificial intelligence techniques, including neural networks and evolutionary optimisation methods, to enable the efficient
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PhD studentship invites applications from candidates with a strong grounding in war studies to undertake research that will contribute primarily to the centre’s Research Strand 2 (Understanding Slavery
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Fully Funded PhD Position: Decoding Chromosome 1 Risk in AMD Using Stem Cell–Derived Retinal Models Host: Newcastle University (UNEW), UK Consortium: MSCA Innovative Training Network Pandora Start date
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studies and bespoke CDT training. Students must achieve an average of 65% or higher in their MSc assessments to be considered for progression to the PhD component of the programme. *Note: Students do not
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assessments to be considered for progression to the PhD component of the programme. *Note: Students do not graduate with an MSc degree as the summer period is spent undertaking a CDT summer school rather than
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resources, and a strong network of academic and industrial partners. Throughout your PhD, you will gain a highly valuable interdisciplinary skill set spanning ultrasonic physics, large-scale numerical
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The University of Exeter’s Department of Computer Science invites applications for a funded PhD studentship to commence on 21 September 2026, or as soon as possible thereafter. For eligible students
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Project Overview This is an opportunity for a person from an underrepresented group to undertake a fully funded master’s degree followed by a fully funded interdisciplinary PhD research degree under
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: 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 information in the ‘Further Details
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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 information in the ‘Further Details’ section