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SBGP

Rationale and Objectives of Programme

Programme Overview

Progress in post-genomic biomedicine requires effective collaboration from scientists from many traditional disciplines, working together in research teams that combine the distinct and complementary methods, skills, and knowledge from each.

The Systems Biomedicine Graduate Programme (SBGP) is a series of multidisciplinary lectures and seminars curated by the Institute of Mathematical and Molecular Biomedicine (IMMB), covering the broad field of systems biomedicine. It is designed to give an overview of work at the intersection of medicine, biology, mathematics, informatics, bioinformatics, and biophysics, and to foster a spirit of discussion and collaboration between students from different disciplines.

The programme is intended for PhD and Master's students who wish to equip themselves with a broad understanding of research in other, complementary disciplines, in order to develop the background knowledge and skills to work at the forefront of multidisciplinary research. Lectures are delivered by experts in their field who have generously donated their time, and are grouped in thematic blocks over the first semester. Some lectures will be shared with the MRes in Translational Cancer Medicine. At the beginning of semester two, students will be invited to make short presentations about their own research.

The SBGP is a joint initiative of the Faculties of Natural and Mathematical Sciences, Life Sciences and Medicine, and the Institute of Psychiatry, Psychology, and Neuroscience.

Programme Elements

Interdisciplinary Lectures: A programme of short interdisciplinary lectures, introducing basic topics from systems biomedicine, ranging from e.g. introduction to cellular biology, bioinformatics and mathematical modelling, via imaging and molecular dynamics simulations of cells and tissues, through to genetics and cancer medicine.

Seminar Series: SBGP students are expected to attend our SBGP seminars, which are usually given by outside speakers working broadly in the area of systems biomedicine.

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