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A fully funded 4-year PhD studentship is available at the University of York, in collaboration with FUJIFILM Diosynth Biotechnologies, supported by EPSRC and the IBioIC network. The project aims to develop computational models to predict and optimise purification protocols for industrial bioprocessing, specifically focusing on recombinant protein targets. The research bridges the Departments of Biology and Computer Science, offering a highly interdisciplinary environment. The successful candidate will receive training across all relevant disciplines and spend three months working at FUJIFILM Diosynth Biotechnologies to gain industrial experience. Applicants should have a background in chemistry, physics, or engineering, strong computational skills, and practical lab-based research experience. Funding covers tuition and stipend for students eligible for home rate student fees. The application deadline is 5 January 2025. Interested candidates should contact the supervisors and prepare their application materials accordingly.

A fully funded 4-year PhD studentship is available at the University of York, in collaboration with FUJIFILM Diosynth Biotechnologies and the IBioIC network, supported by EPSRC. The project is highly interdisciplinary, combining computational modelling, experimental science, and industrial bioprocessing to develop and predict purification protocols for industrial protein production. The research aims to create generic flow-through purification processes to reduce cost and time, increasing flexibility for specialised and small-scale protein markets. The successful candidate will work across the Departments of Biology and Computer Science, receiving comprehensive training and spending 3 months at FUJIFILM Diosynth Biotechnologies to gain industrial experience. Applicants should have a background in chemistry, physics, or engineering, strong computational skills, and practical lab-based research experience. Funding covers stipend and tuition for UK home rate students only. The application deadline is 5 January 2025. Interested candidates should contact the supervisors and prepare their application materials accordingly.

A fully funded 4-year PhD studentship is available at the University of York, in collaboration with FUJIFILM Diosynth Biotechnologies, EPSRC, and the IBioIC network. The project aims to develop computational models to predict and optimise purification protocols for industrial bioprocessing, specifically focusing on flow-through purification of recombinant protein targets. This interdisciplinary research bridges the Departments of Biology and Computer Science, offering training across all relevant disciplines and a 3-month industrial placement at FUJIFILM Diosynth Biotechnologies. The ideal candidate will have a background in chemistry, physics, or engineering, strong computational skills, and practical lab-based research experience. The studentship is open only to candidates eligible for home rate student fees. The application deadline is 5 January 2025. Interested applicants should contact the supervisors and prepare their application materials. The project offers a supportive environment, exposure to both academic and industrial research, and addresses a real-world need for flexible, economic protein production technologies.

A fully funded 4-year PhD studentship is available at the University of York, in collaboration with FUJIFILM Diosynth Biotechnologies, EPSRC, and the IBioIC network. The project aims to develop computational models to predict and optimise purification protocols for industrial bioprocessing, specifically focusing on recombinant protein targets. The research bridges the Departments of Biology and Computer Science and offers a highly interdisciplinary environment, combining computational modelling, experimental science, and industrial collaboration. The successful candidate will receive training across all relevant disciplines and spend three months working at FUJIFILM Diosynth Biotechnologies to gain industrial experience. Applicants should hold a degree in chemistry, physics, or engineering, possess strong computational skills, and have practical lab-based research experience. Funding is available only to students eligible for home rate student fees (UK). The application deadline is 5 January 2025. Interested candidates should contact Michael Plevin and prepare materials demonstrating their qualifications and eligibility.