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Field
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including predictive modelling, computer vision and epidemiology. The student will join an established team of investigators, including statisticians, epidemiologists, image scientists, and clinicians
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mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded into their structure. However, we don’t yet know how to design these complex
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/Python).Further information can be found at:https://www.findaphd.com/phds/project/?p185925If you are interested in this opportunity and would like to know more about it, please contact me via email at
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, in addition to interfacing with the established Human-Computer Interaction (HCI) FIT lab. The candidate will be working alongside other researchers on the FLUIDITY project on human-robot interaction
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: Applicants should email the following documents directly to the University’s Doctoral College (doctoralcollegeadmissions@herts.ac.uk) with the subject line “Functionalisation and antibiofilm evaluation
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this advanced manufacturing process will open new opportunities: devices with variable mechanical and chemical properties; fully 3D-printed electronics; and devices with mechanical or electrical responses encoded
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for international candidates, in which the tuition fee could be mostly covered. To apply, please email your CV and brief research interest to Dr. Lulu Liu via l.liu.11@bham.ac.uk Candidate Profile
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Supervisor’s full name & email address Dr Yixue Shen: Y.Shen1@leeds.ac.uk Co-supervisor name & email address Professor Christine Unterhitzenberger: C.Unterhitzenberger@leeds.ac.uk Project summary Artificial
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Motivation: Soft and flexible materials (e.g. polymers, hydrogels) have revolutionised many areas of science and technology ranging from flexible electronics to soft robotics. Scientists now predict
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experience in developing computational models and implementing models for computer simulations. Software development in C++ and/or Python is expected, and experience in model analysis and parameter