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Oxford, as well as Imperial College London. You will focus on the development of a computational platform to accelerate our ability to engineer biology across scales – from molecular circuits to cellular
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methods for engineering cyanobacteria for environmental bio-restoration applications. It will build on advances within our team to develop methods that can create the vast data sets needed for machine
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particularly in the areas of disability and child-computer interaction. You are interested in engineering novel edible interfaces using a range of construction materials and mechanisms, and in collaborating with
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exciting academic and industrial partners around the world. Based in the Computer Science department, you will carry out research focusing on developing the SimEng fast cycle-level processor simulator
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in immersive technologies and/or a PhD in Computer Science, Human-Computer-Interaction, or a closely related technology discipline. Awareness of latest developments in the field of immersive
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digital device production, from a range of possible backgrounds that could include human-computer interaction, IoT or embedded device design, electronic engineering or digital manufacturing. The pro
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sciences. The purpose of this role is to both develop an impactful programme of research in machine learning applied to health and co-lead the Machine Learning and Data Mining for Applied Health Data Science
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We are seeking an enthusiastic and self-motivated (Senior) Research Associate to undertake an experimental programme developed to understand the durability and alteration of minerals and materials
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and the insight and collaborative potential to help us further develop our existing strengths in research and education. Your role will involve developing a world-class independent research programme
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. The ACRC serves as the cornerstone of computational and data support for a diverse range of research endeavors spanning health, climate, and life sciences. Join our team at the University of Bristol's