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Mathematical Modelling PhD Projects, Programmes & Scholarships

We have 93 Mathematical Modelling PhD Projects, Programmes & Scholarships

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We have 93 Mathematical Modelling PhD Projects, Programmes & Scholarships

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Calcium signalling in In-Vitro Fertilization: developing a non-invasive diagnostic tool

IVF is the primary treatment of infertility with ~2.5 million treatments and ~500,000 births annually. The success rate has been ~25% for many decades but it has been decreasing while the IVF industry is projected to grow to 37.7 billion (USD) by 2027 with an ~10% annual growth rate. Read more

Development of next generation bioreactor models

Industrial biotechnology is increasingly being seen as a way in which we can sustainably produce the products we need. These include plastics, pharmaceuticals, chemicals, food ingredients and many others. Read more

Towards a clinical MEG system: theoretical and practical insights into the use of optically pumped magnetometers

  Research Group: Brain Imaging
Magnetoencephalography (MEG) is a non-invasive medical imaging technique that allows characterisation of human brain electrophysiology by measuring magnetic fields generated by neural currents. Read more

Characterisation of tissue microstructure from non-invasive MRI using Machine Learning

  Research Group: Brain Imaging
The characterisation of biological tissue microstructure in vivo and non-invasively is of outmost interest in science. If successful, it could reveal unique insights into biological processes, including aging and cancer. Read more

Improving photoacoustic imaging for CAR T-cell cancer therapy

This EPSRC iCase funded project builds on an existing collaboration between the University of Surrey (UoS), the Institute of Cancer Research (ICR) and the National Physical Laboratory (NPL), to develop photoacoustic imaging to assist the optimisation of CAR (chimeric antigen receptor) T-cell cancer therapy. Read more

Sustainable Nutrition

We are seeking a PhD candidate for a fantastic opportunity. You need to be an enthusiastic learner and have demonstrated academic excellence in nutrition, data science, food systems, agriculture, or related disciplines to undertake research of benefit to sustainably nourishing populations now and in the future. Read more

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