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Systems Biomedicine Graduate Programme 2013/14

Rationale and objectives of the programme

Progress in post-genomic biomedicine requires the effective collaboration of scientists from many traditional disciplines, working together in research teams that combine the distinct and complementary methods, skills, and knowledge from cellular and structural biology, bio-informatics, engineering, bio-physics, mathematics, and medicine.

The Systems Biomedicine Graduate Programme at King's College London, which started in 2008/09, aims to contribute to the creation of a new generation of postgraduate researchers in the broad field of Systems Biomedicine. Although still trained primarily in one of the above stake holding sciences, we aim to help them develop the skills, background knowledge, and experience to work in multi-disciplinary research teams.

Students who enter the programme spend the first six months in multi-disciplinary activities intended to provide them with knowledge of a variety of disciplines, a sense of collective purpose, and the skills to work effectively in interdisciplinary teams of researchers.

The SBGP is a joint initiative of KCL academics in the Schools of Biomedical Sciences, Natural and Mathematical Sciences, Medicine, and the Institute of Psychiatry.

Programme elements
Interdisciplinary lectures A programme of short interdisciplinary lecture courses, 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 and annual conference SBGP students are expected to attend our SBGP seminars, which are usually given by outside speakers working broadly in the area of systems biomedicine. At the close of the academic year there will be a one-day conference, with external speakers and short research presentations by SBGP students.

For queries please contact Prof ACC Coolen (ton.coolen@kcl.ac.uk) or Prof F Fraternali (franca.fraternali@kcl.ac.uk).

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