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Multiscale Models for Life (MM4L) Centre for Doctoral Training

Are you interested in bridging the gap between in vivo biology, physical and computational sciences?

The new King’s College London Multiscale Models for Life (MM4L) Centre for Doctoral Training aims to understand the complex interactions within a functioning organism by modelling molecular and cellular biology at the tissue and organ level. 

Second round for October 2024 entry now open: apply by 29 February 2024. Scroll down for application details. 

New: Funded project. An exciting opportunity to develop cutting-edge AI tools to predict treatment response for individual patients in collaboration with Roche. 

New: Funded project. Bioengineering patterning in complex tissues to uncover how mechanochemical feedback drives morphological development. This multidisciplinary project combines biology, physics, engineering and mathematics to determine how signalling molecules regulate tissue morphogenesis and patterning. 

We address the three following themes:

Theme 1: System building integrates in vitro and in vivo model systems with bioengineering of microenvironments capturing tissue function. This builds upon our leadership and expertise in in vivo functional models with innovative engineering design principles.

Theme 2: System capture builds on emerging tools in high-resolution spatial biology transforming our understanding of physiological and pathological tissue interactions. We apply molecular analyses (chemical/metabolic, transcriptomic, proteomic) to multiscale spatial systems to qualitatively and quantitatively capture biological functions across tissues and time.

Theme 3: Virtual systems aims to model tissue behaviour and function, which is necessary for testing predictions and developing interventions. We willestablish correlational networks across systems to draw universal multi-scale inferences. Information will be gathered across in vitro and in vivo systems, across patient-derived and genetic animal systems using computational, analytical and machine learning approaches. 

Who are we looking for?

The ideal applicants for MM4L will be those with interest and aptitude for interdisciplinary research – i.e. life sciences + physics, chemistry, maths, computation or engineering. They will have an appreciation for biology in vivo, in vitro, in silico, and very good academic ability as well as good character and work ethic. 

 

 

 

Contact the MM4L CDT

Have questions? Please email us.

 

 

Collaborating faculties

The MM4L CDT is interdisciplinary, bringing together researchers from four King's faculties.

 

Programme: what we offer

>> Support is for 3.5 years including a stipend at the current UKRI rate, home rate tuition fees, research expenses and support for training and career enhancement.

>> Multidisciplinary co-supervisory teams, world-class scientific training embedded within an exciting international university.

>> Individual training and support for a long-term scientific career planning, both academic or otherwise.

>> Industrial engagement opportunities.

>> An inclusive training environment with a diverse supervisor pool.

>> Widening-participation: Applicants from under-represented communities are particularly encouraged to apply. We will assess applicants based on potential, and students will be supported by individualised training.

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Leadership & Supervisors

The overarching aim of this CDT is to train a cohort of scholars adept at bridging the gap between in vivo life sciences and multi-scale modelling. We will do this with innovative projects proposed by collaborative supervisory teams of animal models biologists, computational biologists and bioengineers. Each project will involve at least two (and ideally three) of these disciplines.

We are developing a new seminar-style training module for students, which will be taught by cross-disciplinary teams. For example, each week, a biologist, a modeler and a tissue engineer partner up to discuss a fundamental problem, approached from their differing viewpoints.

MM4L leadership: Professor Karen Liu, Faculty of Dentistry, Oral & Craniofacial Sciences and team.

 Cross-faculty theme leads: MM4L brings together researchers from four King's faculties.

 Supervisors

 

 

 

 

Entry requirements and how to apply

>> Academic credentials: Applicants must at least an upper second class undergraduate degree, or equivalent, in a relevant discipline, including but not limited to mathematics, computational biology, tissue engineering, developmental biology, genetics, stem cell biology, biochemistry.

>> Research experience: Lab based research experience (either wet & dry) necessary.

>> Nationality: Home students are eligible. A limited number of fully funded studentships are available to international students.

>> English language proficiency: EU and International students may be required to pass an English language proficiency test to Band D standard..

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Your steps: second round NOW OPEN application deadline 29 February 2024

1. Follow application instructions

Download/read and follow this information before completing your application. The instructions explain the steps.

2. Download the application form

Download this form, then complete and save your application according to the applications instructions in step 1.

3. Submit your application

Your completed application should be submitted online at King's Apply according to the application instructions in step 1.

4. Complete the Diversity Monitoring form

Used to monitor our application strategy which aims to support groups currently under-represented in academia. The information will not be used to inform your application. Please complete this form once you have applied. Completing this form is mandatory, and you can choose "prefer not to say" from question 2 onwards.