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About the role: Are you an experienced PMO professional who thrives on bringing structure, clarity and strong governance to complex programmes? Do you enjoy working with senior stakeholders and
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, computational biology, structural biology, biophysics, pharmacology or related discipline. Significant experience in virtual screening and molecular docking. Experience with machine learning/AI approaches in drug
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transformation. Role Purpose & Scope Provide structured administrative and coordination support to the IT Project Manager for the Student Record System (SRS) replacement and Student Study Services transformation
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to promoting equality for women in science and engineering. Our Faculty offers exceptional research facilities in fluid dynamics, structures, and their interactions. This includes a world-class fluid dynamics
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microbiologists and drug discovery scientists to support bacterial strain construction, tissue culture maintenance, infection experiments and compound screening. This project is a joint programme between the
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-driven AI models that capture the underlying process–structure–property relationships governing metal additive manufacturing. By combining mechanistic modelling, in-situ sensing, and machine learning
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– you’ll nurture a structured and collaborative working environment Relationship management – you’re skilled at building partnerships and managing key accounts, working University-wide and externally Strong
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an annual stipend of up to £10,000 Supervision and guidance from leading experts in the field Structured research training at SOAS. Access to workspace and resources to attend and present at national
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Built Environment portfolio, particularly within our established and high-impact programmes in Quantity Surveying and Construction Management. This post will support the School’s broader strategic aims
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the CL’s research proposals will be modelled on our existing structure. The CL will be asked to present his/her research proposals to a multidisciplinary panel which includes senior academic staff from both