32 programming-"https:" "https:" "https:" "BioData" PhD positions at The University of Manchester
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, computer science, or a closely related discipline (typically first-class or high 2:1, or equivalent; Master’s welcome) • Strong programming skills (for example Python, MATLAB, C/C++) • Strength in at least two of
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knowledge in physical chemistry and surface science. Pre-knowledge on programming and molecular simulations (MD or MC) are desirable. Only home (UK) students are eligible for the full funding, but
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undertake an interdisciplinary programme combining polymer synthesis, materials characterisation, rheology and mechanical testing, and in vitro drug release studies, supported by quantitative analysis and
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discipline. Programming skills in any language and knowledge of numerical methods for solving differential equations are highly desirable. Knowledge of heat transfer is advantageous. Applicants are expected
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air pollution and have been identified as an area for intervention in the latest Government Environmental Improvement Plan (www.gov.uk/government/publications/environmental-improvement-plan-2025
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and a strong interest in computational modelling and programming. To apply, please contact the main supervisor, Dr. Mara Strungaru - mara.strungaru@manchester.ac.uk . Please include details of your
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discovery programs using visible light-mediated catalysis. We are particularly focused on leveraging biomimetic pathways for the homologation of amines. This is an industry-funded organic chemistry project
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analytical electron microscopy will be will be employed in the project. This programme provides a unique opportunity to combine pioneering academic research with industrial experience. In
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quantitative and programming skills. Experience in CFD software. Strong written and verbal communication skills. To apply, please contact Dr Sampad Sengupta (sampad.sengupta@manchester.ac.uk ). Please include
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(or international equivalent) in a relevant science or engineering related discipline. Essential skills: Interest in fluid mechanics and biological flows Strong quantitative and programming skills