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Artificial Intelligence-Assisted Modular Metabolic Engineering for Netzero Commodity Manufacture PhD
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Artificial Intelligence-Assisted Modular Metabolic Engineering for Netzero Commodity Manufacture PhD
Loughborough University, Loughborough, United Kingdom
36 monthsProgram duration
28,600 Tuition Fee/year
10 Feb, 2025Application Deadline
YesScholarships
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more produced from petroleum or petroleum-derived feedstocks, they are mainly known as petrochemicals. Production of these commodity products from petroleum is not only unsustainable (due to continuous depletion of petroleum resources) but also damaging to the environment (due to the resulting emission of direct and indirect harmful greenhouse gases (GHGs), including CO2, CO, and CH4.
Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria.
The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering.
This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering. Read less
Program overview
Main Subject
Data Science and Artificial Intelligence
Degree
PhD
Study Level
PHD
Study Mode
On Campus
Read more produced from petroleum or petroleum-derived feedstocks, they are mainly known as petrochemicals. Production of these commodity products from petroleum is not only unsustainable (due to continuous depletion of petroleum resources) but also damaging to the environment (due to the resulting emission of direct and indirect harmful greenhouse gases (GHGs), including CO2, CO, and CH4.
Thus, biological conversion of harmful GHGs into high-value bio-commodities by using them as feedstocks can simultaneously address the challenges of both carbon neutral/ NetZero commodity manufacture and harmful GHG emissions to counteract global warming and climate change. However, biological production of commodities from GHGs is significantly challenging due to the requirement of bespoke designer cell factories to convert gases into commodities of interest. This interdisciplinary project, aims to address this challenge by developing designer cell factories through engineering bespoke biochemical pathways into gas-fermenting bacteria.
The pathways will be developed through the application of AI-assisted, state-of-the-art machine learning and cheminformatics algorithms, followed by their experimental implementation and optimisation in designer cell factories. These objectives will be achieved through the implementation of both computational and experimental approaches in computational biology, systems biology, synthetic biology and metabolic engineering.
This project provides an excellent opportunity to work with multidisciplinary research groups within the Chemical Engineering Department at Loughborough University. You will be joining a vibrant and multidisciplinary research community, focusing on tackling some of the most pressing and demanding societal challenges related to sustainability, environment and human health through harnessing the power of machine learning, systems biology, synthetic biology, and metabolic engineering. Read less
Admission Requirements
Tuition Fee and Scholarships
Domestic Students
International Students
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Social Sciences and Management (5)
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
An Evaluation of Erasmus+ Sport Projects and Their Impact on EU Sport Policy Development PhD
Climate Change, Work Design and Worker Wellbeing Phd
Climate Change, Work Design and Worker Wellbeing Phd
Communication and Social Change (CSC) Hub Studentship PhD
Communication and Social Change (CSC) Hub Studentship PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Enhancing Motivation in Sport and Exercise Contexts PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD
Out of School Youth Provision: An Analysis of Funding and Operational Resilience within the Sector PhD