KTN's online platform helps you to make the connections you need

 

The Knowledge Transfer Network (KTN) has refreshed its online platform to intelligently connect you to relevant events, funding, thought pieces and specialist staff to help your business innovate and grow.

You can discover content using your area of interest, from ICT to transport; from space to health – all major UK economic sectors are covered. Once you have selected your interests, using our intelligent tagging system, we will then display rich and relevant content related to your area, often from surprising sources.

An example might be new satellite technology from the space sector that is applicable in the agri-food sector. KTN-UK.co.uk will help you form these unusual and valuable connections.

All content on the platform has been carefully curated by our team of innovation specialists – not by an automated algorithm – so you can be confident that KTN is connecting you to the most relevant cutting-edge information.

 

The move also marks a closer alignment with our main funder, Innovate UK , with the website branding making a clear visual link. Knowledge Transfer Network is Innovate UK's innovation network partner, and also works with other funders to provide innovation networking services and fulfil our mission to drive UK growth.

We link new ideas and opportunities with expertise, markets and finance through our network of businesses, universities, funders and investors. From agri-food to autonomous systems and from energy to design, KTN combines expertise in all sectors with the ability to cross boundaries. Connecting with KTN can lead to potential partners, horizon-expanding events and innovation insights relevant to your needs.

Visit our people pages to connect directly with expertise in your sector.

Visit the KTN refreshed online platfom here

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2-year postdoc in Mathematical Modelling of Biosensors *Deadline 8th Aug*

Research Associate - Mathematical Modelling of Biological Binding

 

University of the West of England, Bristol - Engineering Design & Mathematics

 

 

As a Research Associate - Mathematical Modelling of Biological Binding you will continue a cross University project to mathematically model the dynamic processes associated with biological binding reaction.

You will have a Masters level qualification in addition to understanding how to conduct research using appropriate research techniques and implementing new research methods.  Your IT skills will be excellent, whilst you'll have experience of building and stimulating mathematical models and/or interpreting data within scientific software environments such as MATLAB or Python.

It's desirable for you to have experience in mathematical modelling of biological, chemical or fluidic systems and possess an understanding of nonlinear process modelling.

The Institute of Bio-Sensing Technology (IBST) has an outstanding reputation for its user-led research and development activity relating to biosensing systems. IBST is joint initiative between the University of the West of England (UWE) and the University of Bristol (UoB).

Further information about IBST is available here: www.biosensingtech.co.uk

If you would like an informal discussion, please contact Janice Kiely on 0117 32 82606 or email to: Janice.Kiely@uwe.ac.uk

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