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-class or 2:1 (or international equivalent) Master’s degree in Computer Science, Robotics, Mechatronics or Electronic/Electrical Engineering, or a related field. • Knowledge of machine learning/deep
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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
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and spatial resolution, to make a leap in this field. The PhD research programme will squarely address these challenges. The PhD candidate should have completed (or about to complete
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of realising an optical-pump TeraHertz-probe polarisation-resolved near-field microscope, this PhD research programme will look at combining spintronic THz emitters and near-field photoconductive probes
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DTU, Department of Civil and Mechanical Engineering, the Section for Manufacturing Engineering invites applications for a PhD position (3 years) on the topic of simulation of corrosion fatigue life
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, few people are trained in its operation. This PhD project will involve training on, and the further development of native mass spectrometry technology. The student will operate within the Advanced Mass
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-informed theoretical framework that quantify the viability of the approaches. The PhD candidate should have completed (or about to complete) their undergraduate degree in engineering or physics (preferably
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-partnership MIBTP Programme Code for this project: 167D PhD Biosciences FT (MIBTP) How to apply: To apply, please click on the 'Apply' button above, make an account, and submit an application via the university
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engineering or physics (preferably with first class honours or equivalent) and we expect the PhD candidate to develop the expertise required to lead an experimental research project, to train students
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scenarios and test fundamental physics. This work will provide essential tools for extracting science from current observing runs and preparing for next-generation gravitational wave detectors. The PhD