
Fully funded PhD Opportunity at fraUniversity of Lorraine : Innovate Sustainable Tungsten Recovery through Solvent Extraction Chemistry
Fully funded PhD Opportunity at fraUniversity of Lorraine : Innovate Sustainable Tungsten Recovery through Solvent Extraction Chemistry
PhD Opportunity: Innovate Sustainable Tungsten Recovery throughSolvent Extraction ChemistryJoin a groundbreaking national research initiative to develop next-generation solvent extraction processes for tungsten – a critical metal at the heart of … Read More Read More
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PhD in Chemical Engineering at McMaster University
PhD in Chemical Engineering at McMaster University
When responding to this application, email Prof. David Latulippe latulid@mcmaster.ca and Prof. Charles de Lannoy at delannoy@mcmaster.ca using the following subject line in your e-mail: PhD Discovery in MF PEEK … Read More Read More
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Industrial Sponsored PhD: A ‘Lab on a Bench (LoB)’ setup equipped with Machine Learning (ML) as a high throughput (HTP) for formulation design and validation.
Industrial Sponsored PhD: A ‘Lab on a Bench (LoB)’ setup equipped with Machine Learning (ML) as a high throughput (HTP) for formulation design and validation.
About the Project Most of chemical products consist of multiple compounds that are formulated together, of which the development process is iterative, laborious, and complex. The formulated products sector, contributing … Read More Read More
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Modelling the dynamics of surfactant-laden droplets for sustainable design of emulsions
Modelling the dynamics of surfactant-laden droplets for sustainable design of emulsions
About the Project Background Emulsions, which consist of dispersed droplets of one liquid in another immiscible liquid, are critical components in a wide range of applications, from personal care products … Read More Read More
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Deep removal of CO2 from industrial sources using innovative electrification concepts
Deep removal of CO2 from industrial sources using innovative electrification concepts
About the Project This PhD is one of a number of projects hosted by the Centre for Doctoral Training in Green Industrial Futures (CDT-GIF). We are offering pioneering research projects … Read More Read More
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A computational fluid dynamics pipeline for predicting thrombus formation: enhancing the planning of mitral heart valve surgery
A computational fluid dynamics pipeline for predicting thrombus formation: enhancing the planning of mitral heart valve surgery
About the Project This PhD targets a gap in healthcare technology. To support the planning of heart valve surgery, it will focus on developing a numerical model for the formation … Read More Read More
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Development and Validation of a Numerical model for Structured Liquids using Formulation Science and Rheology: towards Net Zero Sustainable Products.
Development and Validation of a Numerical model for Structured Liquids using Formulation Science and Rheology: towards Net Zero Sustainable Products.
About the Project The Unilever Group is an international manufacturer of home, personal care and food products, with a purpose to Make Sustainable Living Commonplace. The company has over 400 … Read More Read More
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Smart, safe, scalable, & sustainable synthesis of MXenes - nanomaterials for the transition to net-zero
Smart, safe, scalable, & sustainable synthesis of MXenes - nanomaterials for the transition to net-zero
About the Project MXenes are a promising new family of nanomaterials. They have unique properties and show great promise in many applications fundamental to the net-zero transition (e.g. gas storage, … Read More Read More
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Revolutionising Specialty Optical Fibre Fabrication with Machine Learning
Revolutionising Specialty Optical Fibre Fabrication with Machine Learning
About the Project Closing date: 31st December 2025 This PhD project invites you to transform specialty fibre fabrication through the application of machine learning. Specialty optical fibres are foundational to … Read More Read More
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Ultrabroadband solutions for intra data-centre comms
Ultrabroadband solutions for intra data-centre comms
About the Project Supervisory Team : Prof Gilberto Brambilla, Dr Martynas Beresna With the advent of machine learning and AI, more and more technologies are reliant on data centres, that … Read More Read More
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