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for 4 years. The PhD project would suit a candidate with an undergraduate degree (2:1 minimum) in computer science, bioinformatics, physics, or chemistry. References: [1] Ludwig C. MetaboLabPy — An Open
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undergraduate honours degree in Engineering, Mathematics, Computer Science or Physics Excellent English written and spoken communication skills The following skills are desirable but not essential: Background in
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of Birmingham and afield. You can apply here: https://sits.bham.ac.uk/lpages/EPS019.htm (engineering programme) or https://sits.bham.ac.uk/lpages/EPS005.htm (physics programme) clearly stating the title
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should be made online . Under Campus, please select Loughborough and select Programme Ph.D. Sport, Exercise and Health Sciences (PSRP11). Please quote the advertised reference number SSEHS/CL26 in your
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. Candidate Requirements A strong academic background in Engineering, Mathematics, Physics, Architecture or Computer Science. An undergraduate degree with at least 2.1 in one of the above subjects is essential
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integration into neural circuits to result in functional, restored behaviour. We will use the fruit-fly Drosophila as a model organism for its powerful genetics and molecular cell biology (e.g. CRISPR/Cas9 gene
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Honours degree or international equivalent in a subject relevant to the proposed PhD project (inc. computing, mathematics, engineering etc.). Enthusiasm for research, the ability to think and work
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(i.e. LCD TVs). Augmented (AR) and Virtual Reality (VR) technologies are the next logical step in display device technology; however, they require novel solutions in engineering and physics to overcome
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: Applicants will normally need to hold, or expect to gain, at least a 2:1 degree (or equivalent) in Computer Science, Engineering, or an appropriate Master’s degree with good programming skills
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• Quantitative and computational skills but training will be provided • Interest in Bayesian statistics, stellar evolution, and exoplanet science Keywords Bayesian inference · hierarchical modelling · stellar