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People and Partners

Industrial Partners & Supporting Institutions

In order to help addressing our research questions and also ensure that CANES students understand the industrial relevance of non-equilibrium phenomena, industrial links have been enstablished with three main sectors where the CANES research themes can bring tangible benefits. These sectors are:

(a) industrial sectors relying on non-equilibrium processes, e.g. in materials synthesis, microelectronics or energy conversion technologies;

(b) the biomedical sector, where non-equilibrium effects are present at the microbiological level (protein interaction, signalling and transcription networks), at the patient level (prediction of disease progression, feeding into personalized medicine) and the population level (epidemic processes); and

(c) the financial and re-insurance sectors, where the stability and occurrence of rare events in non-equilibrium systems like financial networks or natural hazard settings are key concerns.

In these areas we have engaged the following research users as partners:

AWElogo

AWE (ab intio material modelling calculations incorporating strong electron correlation)

 Citi_logo

Citibank (non-equilibrium market models)

TheFrancisCrickInstitute

The Francis Crick Institute(systems and computational biology approaches to developmental biology and cancer research)

 Deutsche_Bank_logo

Deutsche Bank (operational risks in financial networks)

DZBANK

Deutsche Zentral-Genossenschaftbank (systemic and operational risks in financial networks)

 FNA

Financial Network Analytics (modelling and data analysis of financial networks)

 FIOS

Fios Genomics (data analysis for drug discovery and development)

 Forwardlane

Forwardlane (artificial intelligence applied to financial advice)

 Lucid-footer-2x

Lucid (data technology)

MSRC

Microsoft Research Cambridge (computational biological modelling, simulation, and analysis)

 NPL

National Physical Laboratory (self-assembly of peptides/proteins)

 ONRG

ONRG (chemomechanical processes occurring inside metal components subject to extreme operative conditions)

 Seldon-5-glober-320

Seldon (enterprise machine learning)

 LOGO-Simons-Foundation-02

The Simons Foundation (quantum excitations in strongly correlated materials)

 Techstars-logo

Techstars (startup acceleration programme)

 Unilever_nobg

Unilever (non-equilibrium soft matter)

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