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Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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the diversity of aspartic proteases from the model plant Arabidopsis thaliana and deploy chemical synthesis, advanced modelling, protease biochemistry, mass spectrometry and structural analysis methods. A
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structural analysis methods. A detailed analysis of the consequences of this diversification will lead to an increased understanding of the polyphilic interactions in the active site of the proteases and would
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formulations to provide functionalities including pH, stability and viscosity control, sensory profile, texturing and structuring. In this project, we are seeking to develop the next generation of biopolymer
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faculty in scholarly activities. Doctoral students also play an active role in the daily operation of the program. The study program features a three-stage structure with modules called “basis,” “workshop
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promise in understanding disease mechanisms and improving clinical decision-making. Recent studies suggest that generative models can uncover latent structures and improve classifier robustness across
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PhD Position in Theoretical Algorithms or Graph and Network Visualization - Promotionsstelle (m/w/d)
interfaces. Topics of interest include: Planar and geometric graph algorithms Approximation and parameterized algorithms Clustering, embeddings, and structural graph theory Computational complexity and
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to therapies and vaccines against human diseases. We are a team of highly interactive investigators that have expertise in immunology, molecular biology, virology, microbiology, structural biology, computational
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of Creative Arts spread over the four years. In addition to meeting appropriate school-level PhD structured requirements, they will [NJ1] [RC2] be working together with a multidisciplinary team of PIs and PhD
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Supervisor’s full name & email address Dr Yixue Shen: Y.Shen1@leeds.ac.uk Co-supervisor name & email address Professor Christine Unterhitzenberger: C.Unterhitzenberger@leeds.ac.uk Project summary Artificial