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code: 8040F. · select ‘PhD Civil Engineering (full time) ' as the programme of study You will then need to provide the following information in the ‘Further Details’ section: · a ‘Personal
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invite applications for a limited number of fully funded PhD studentships at the School of Physics, Engineering and Computer Science of the University of Hertfordshire. This is an exciting opportunity
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: Search for the ‘Course Title’ using the programme code: 8856F Leave the ‘Research Area’ blank Select ‘PhD in Process Industries; Net Zero (PINZ)' as the programme of study You will then need to provide
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. You will focus on machine learning, but will be involved in all areas. There are also spinout opportunities. For details: PhD information sheet The team have wide experience studying bumblebee behaviour
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system select Programme of Study – PhD Biochemistry. Please select ‘funding obtained’ and state the supervisor’s name where required. Candidates should have or expect to obtain a minimum 2:1 undergraduate
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for fieldwork in South America. Training and Skills Development This PhD will provide comprehensive training in: Molecular techniques: DNA extraction, PCR, and next-generation sequencing library preparation
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https://www.sems.qmul.ac.uk/research/studentships/674/net-zero-natural-resource-energy-and-time-efficient-manufacturing/The PhD work will benefit from access to unique facilities including
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Programme Description The Centre for MoDDD at the University of Hertfordshire invites applications for a PhD candidate to join a 3-year QR-funded research project on repurposing drugs against
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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health, and bioinformatics. You will apply advanced AI methods - from classical machine learning to large language models and agent-based AI - on large-scale healthcare datasets, including structured