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Awardees

This scheme is now opened

Submission deadline: 15 November 2023, 16.00

Apply now

Grant Management System

Submit and review your applications here

Visit the GMS

Access Mentoring

Support for underrepresented groups

For more information
  • Programme overview
  • How to apply
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2023 - 2024 Awardees

Dr Muhammad Wakil Shahzad, University of Northumbria

Functionalised composite adsorbent material for industrial applications (FAM)

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Dr Emmanouil Benetos, Queen Mary University of London

Resource-efficient machine listening

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Dr Daniel Barreto Gonzalez, Edinburgh Napier University

Statistical and machine learning approaches for the characterisation of soils

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Dr Nada Yousif, University of Hertfordshire

Multi-level computational modelling for improving clinical outcome in treating tremor

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Dr Marlène Mengoni, University of Leeds

COMP-HA: Computational mechanobiology for treatment discovery in Haemophilic Arthropathy

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Dr Kaveh Delfanazari, University of Glasgow

On-chip generation of coherent continuous and pulsed terahertz waves for future quantum communication systems

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Dr Jie Yuan, Univeristy of Southampton

Multi-scale friction interface design for resilient and sustainable dynamical systems

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2022 - 2023 Awardees

Dr Eleni Papadonikolaki, University College London

A ‘system-of-systems’ approach to meet a Net-Zero vision through Digital Twins

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Dr Sheida Afshan, University of Southampton

Stainless steel hydrogen storage for net zero maritime transportation

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Dr Shuo Wang, University of Birmingham

Detecting and Anticipating Data Non-stationarity in Distributed Machine Learning

Dr Shuo Wang

Dr Jason Stafford, University of Birmingham

Microfluidic metrology for processing low-dimensional materials at large scales

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Dr Waisu Popoola, University of Edinburgh

Ethical LiFi – Phototoxicity-free Visible Light-based Wireless Connectivity

Dr Waisu Popoola

Dr Pamela Judith Walsh, Queen's University Belfast

Mimicking Nature Adhesive for Bone Repair

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Dr Bing Ji, University of Leicester

Self-Monitoring and Resilient Control for Electrified Powertrain (SMaRtEP)

Dr Bing Ji
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