271 phd-computational-"IMPRS-ML"-"IMPRS-ML" positions at University of Manchester in United Kingdom
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are also available. Applicants must have, or be about to obtain, a PhD (or equivalent) in materials science, physics, or related discipline with experience in the design and conduct of experiments. Some
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develop a feedback interface integrating human natural sensory and robot’s artificial information. This will encompass mechatronics design, system integration, robotic control, computer vision algorithms
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developing new computational algorithm and formulation for generating optimised process, toolpath and motion of machines while incorporating the manufacturing constraints. Candidate should have a PhD degree in
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Scholarship website for details. Specified use Funded by the UK Department for Education (DfE), Commonwealth PhD Scholarships for high-income countries support research that will have impact in a field relating
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the award of two fully funded PhD scholarships for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed
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the award of fully funded PhD scholarship for students residing in the UK who are eligible for home fees and who identify as being black-heritage (encompassing African, Caribbean, and black-mixed heritage
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scientific aims, published as well-documented open source tools for wider adoption. The successful applicant will have a PhD with a significant computational and/or statistical element and will have experience
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atlases along with computational models to characterise the effect of exposures on different tissues in humans and model systems. You will have a PhD with a significant computational and/or statistical
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. For further information about the research group, see webpage http://ashokkeerthi.weebly.com/ The successful applicant should have, or be working towards, a PhD in synthetic organic chemistry, polymer chemistry
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child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics