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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5th Symposium on Mathematical and Numerical Modelling of Physiological Flow

Will focus on circulatory system (imaging, modelling, algorithms, applications), cardiac mechanics, fluid-wall interactions, electrical physiology, associated inverse problems and uncertainty quantification, and system integration.

Abstract submission: January 15, 2013; accomodation deadline: February 28, 2013; early registration deadline: April 30, 2013.

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Date and time

Start Date :
11/06/13
End Date:
14/06/13
Duration :
09:00 – 17:00 (Time Zone Sensitive)
Type :
Conference

Organiser details

Organiser :
gianluigi.rozza@epfl.ch

Address details

Venue :
Chia Laguna Conference Centre
Address : 

Domus de Maria Cagliari

United Kingdom

Website: :
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