604 computer-programmer-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" PhD positions in United Kingdom
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Field
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sequencing and researching disease in patient cohorts, working with machine learning techniques and programming computers. The candidate will learn about different flavors of metagenomic sequencing, how
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decisions about personalised phage therapy. The expected workload is mainly computational, using bioinformatics analyses to investigate the microbiome and phageome with supporting laboratory work for DNA
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effects on the human host, either beneficially, such as antibacterial compounds, or negatively, such as toxins. Computational analysis of genomic data highlights a vast number of pathways to such molecules
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, such as quantum sensing, quantum cryptography and quantum computation, with experiment limitations implemented as mathematical constraints. The applicant should have a a mastery of linear algebra
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undergraduate degree relevant to each individual project, e.g., Experimental Psychology, Physics, Neuroscience, Computer Science, Electrical Engineering, or a related subject. In addition, an appropriate master’s
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candidate with a strong quantitative background (e.g., in computer science, statistics, bioinformatics). The following skills are essential for this project: Excellent programming skills in Python. Proven
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Richard Feynman famously quoted ‘turbulence is the most important unsolved problem of classical physics’. Understanding and modelling turbulent flow physics will unlock a vast potential for optimising many applications of the energy...
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PhD Studentship in Aeronautics: Smart Adaptive Materials for Soft Robotics Skins and Aero-robotic Applications (AE0076) Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Soft robotics is a rapidly advancing field with applications ranging from advanced manufacturing to space...
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combination of experimental work, rig development, and computational modelling, and will equip the student with a unique skill set highly relevant to both academic research and industrial careers such as
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disciplines to contribute to world-changing research in the development and deployment of trustworthy AI. The scholarship programme is part of the University’s internationally recognised Cyber Security Global