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We have 15 Applied Mathematics (computational biology) PhD Projects, Programmes & Scholarships

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Applied Mathematics (computational biology) PhD Projects, Programmes & Scholarships

We have 15 Applied Mathematics (computational biology) PhD Projects, Programmes & Scholarships

PhD Studentship in “Multi-scale mathematical models to predict prostate cancer progression and treatment response.” (2024)

PhD studentship in the Groups of “Mathematics Applied to Biology” and “Numerical Analysis and Scientific Computing” at the University of Sussex (UK), with the collaboration of the “Group of Numerical Methods in Engineering” at the University of A Coruña (Spain). Read more

Understanding the evolution of gene regulatory networks through biophysical modelling and machine learning

The ability to coordinate the expression of genes within a cell is at the heart of life. When and how much of a specific gene is turned into a protein is essential for organisms to respond to their environment and to manage resources. Read more

Data-driven optimal prediction of bacteria growth

This project is devoted to an AI-based prediction of bacteria growth and its control by antibiotics. In synthetic biology, an improved understanding of bacterial regulatory circuits is required to develop complex biological systems with functionalities beyond existing in nature [1, 2]. Read more

Projects in mathematical systems and control theory

Mathematical systems and control theory “represents an attempt to codify, in mathematical terms, the principles and techniques used in the analysis and design of control systems” [1]. Read more

Fully Funded PhD Program Opportunity

The Okinawa Institute of Science and Technology Graduate University (OIST), accredited in 2011 as a graduate university, is located in the beautiful subtropical island of Okinawa, Japan. Read more

Personalising cancer treatment with tumour evolution modelling using AI-based genomics biomarkers and PK/PD

Tumour heterogeneity is a major problem limiting the efficacy of targeted oncological therapies. Most advanced tumours eventually become resistant to the treatments, ultimately making the patient succumb to metastatic disease. Read more

Network-based predictive modelling of cardiovascular disease risk

The risk of cardiovascular disease (CVD) is orchestrated by multiple factors. QRISK models (currently QRISK3) have been used in the UK to estimate CVD risk within the next 10 years for individuals without CVD. Read more
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