Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø

XClose

Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø Faculty of Life Sciences

Home
Menu

MRes Computational Cell Biophysics

At the forefront of interdisciplinary research

Research image and man and woman in lab coat

Are you a physicist, a biologist, a chemist orÌýa mathematician interested in interdisciplinary research? This programme is for you!

Interdisciplinary approaches are rapidly being recognised as essential to address complex global challenges and drive forward scientific innovation.ÌýThe MRes Computational Cell Biophysics is an innovative, research-focused programme designed to provide students with key skill sets. Students will undertake a major research project in a world-leading lab, integratingÌýskills from physics, maths and computer scienceÌýwithÌýbiology. Students will learnÌýimage analysis, machine learning, big data and AI approaches, key skill sets that are high in demand by employers, from academia to industry.

We aim to train flexible, multi-faceted researchers representing the next generation of scientists and entrepreneurs.

MediaCentral Widget Placeholder

Ìý

Programme overview:

  • Innovative and interdisciplinary
  • 9-month lab-based projects in world-class research groups
  • Students will learnÌýessential programming and machine-learning skills
  • Students will learn to communicate across disciplines
  • Prepares graduates to pursue diverse careers in academia and industry

We are strongly committed to developing an inclusive and positive research culture and providing students with the support they need to succeed.

Programme details

Ìý

Programme structure

The programme consists of a 9-month research project and two other compulsory modules. In addition, students select two optional modules from the list below. Previous coding experience advantageous but not required. If studentsÌýneed additional training in biology or coding,Ìýthey can choose to attend additionalÌýtutorials.

Compulsory modules:

MRes Laboratory-Based Research Project in Biophysics (120 credits). Students will be given a diverse choice of projects offered by invited scientists across a wide range of Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø faculties. Each project will have two supervisors, one from the physical sciencesÌýand one from the biological sciences. Each project will be designed to address a fundamental biological problem.Ìý

Research Techniques in Cell Biology and Biophysics (15 Credits).ÌýThe MRes module will combine attending seminars from visiting scientists to Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø research departments, tutorials in cutting edge research techniques, with visits to Ïã¸ÛÁùºÏ²ÊÖÐÌØÍø’s world leading facilities for imaging, high-content screening, bioinformatics, computation, nanotechnology, and material science.

Computational Cell Biophysics (15 Credits).ÌýResearch-led teaching by scientists at the forefront of the biophysics research field provide Ìýstudents with a conceptual and quantitative understanding of areas of physics that are relevant to biology.

Optional modules (30 credits):

Advanced Molecular Cell BiologyÌý(CELL0016, 15-Credit)Ìý
Tissue BiologyÌý(CELL0024, 15-Credit)Ìý
Interdisciplinary Cell BiologyÌý(CELL0017, 15-Credit)Ìý
Advanced Practical Cell BiologyÌý(CELL0022, 15-Credit)
Cell Signalling in Health and DiseaseÌý(PHOL0008, 30-Credit)Ìý

Students choose their research projects at the start of their MRes.

Example research projects:

ÌýÌý Ìý•ÌýÌý ÌýVertex modelling of lymph node dynamics during homeostasis and disease.
ÌýÌý Ìý•ÌýÌý ÌýLearning biophysical determinants of cell shape with deep neural networks.
ÌýÌý Ìý•ÌýÌý ÌýUsing computer vision and machine learning to determine 3D cell shape in complex epithelia
ÌýÌý Ìý•ÌýÌý ÌýCoarse-grained molecular dynamics modelling of collagen networks
ÌýÌý Ìý•ÌýÌý Ìý3D mechanical modelling of effects of microgravity on tissue growth and repair
ÌýÌý Ìý•ÌýÌý ÌýMathematical modelling of cell migration in self-generating gradients
ÌýÌý Ìý•ÌýÌý ÌýModelling the mechanical evolution of the apical domain during differentiation of iPSCs into neuroepithelial cells
ÌýÌý Ìý•ÌýÌý ÌýMathematical modelling of the role of calcium signalling in determining embryonic polarity
ÌýÌý Ìý•ÌýÌý ÌýModelling morphogen gradient formation during growth and morphogenesis
ÌýÌý Ìý•ÌýÌý ÌýInferring model parameters from experimental data
ÌýÌý Ìý•ÌýÌý ÌýRobotic artificial Selection of microbial communities
ÌýÌý Ìý•ÌýÌý ÌýSimulating artificial selection of microbial communities
ÌýÌý Ìý•ÌýÌý ÌýUnderstanding immune system group chemotaxis using microscopes and mathematical modelling
Potential supervisors
LMCB Group Leaders
IPLS Group Leaders
MRes Computational Cell Biology management team
Director:ÌýYanlan MaoÌý- LMCB Professor of Developmental Biophysics, co-DirectorÌý
LMCB Programme tutor:ÌýJulie PitcherÌý- LMCB Associate Director (Education)
IPLS/Physics Programme tutor:Ìý
Administrative support: Helena AhmedÌý- Education and Training Administrator

Ìý

Ìý


Who can apply:

  • Admits students from allÌýsciences
  • UK and international students can apply

Find out about funding your studiesÌýhere.

For queries, contactÌýmres-ccb@ucl.ac.ukÌýor Julie Pitcher (Programme Tutor) on TeamsÌý+44 20 7679 3040