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Location: Central Cambridge We are seeking applications for a PhD position in AI in proteomics as part of the Horizon Europe MSCA Doctoral Network, ProtAIomics. This brings together laboratories
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PhD Studentship in Cardiovascular Development: “Pharyngeal endoderm transcriptional networks regulating aortic arch artery development and malformation”, funded by the British Heart Foundation
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and laser-scan data. These models underpin decisions impacting net-zero ambitions, yet interpretation remains slow and subjective. We need tools that make geological reasoning faster, more transparent
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Quantum computers are on the horizon that could break the encryption protecting our banks, hospitals, and national infrastructure. This fully funded, part-time PhD studentship offers the chance to
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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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biology approaches to identify transcriptional networks and signalling pathways controlling cardiovascular development. Using novel datasets generated from mouse models of congenital heart defects, the
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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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modern machine learning, statistical signal processing, or optimisation to turn heterogeneous knowledge (channel/network state, maps and topology, mobility, hardware constraints, and task-level KPIs
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the supervision of Professor Rosemary Dyson, in the School of Mathematics (in the College of Engineering and Physical Sciences), and interface with the SUM4Products Network. Background The formulated product sector
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interdisciplinary team spanning materials chemistry, surface science, and applied physics. The position is embedded in the Vienna Doctoral School in Chemistry (DoSChem), Austria’s largest graduate network in chemical