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, enhancing, and running code in R. You will have excellent communication skills with the ability to talk to different audiences, as you will be collaborating with a team of researchers across multiple
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difference in combatting antimicrobial resistance globally and changing international policy. We contribute significantly to basic knowledge of antimicrobial resistance and apply research methods to identify
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working productively with others who may have different skillsets and knowledge. You will need to be comfortable using Free and Open Source Software (FOSS) and have demonstrable experience in Python, and/or
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at different length scales, from single molecules (Prof Goult, Liverpool) to the tissue scale (Prof Sinha, Cambridge). To reach the collaborative goals, the teams will be in regular contacts for coordination
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global issues and making a difference to people's lives. We believe that inspiring our people to do outstanding things at Durham enables Durham people to do outstanding things in the world. Being a part of
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university is a supportive, inclusive, caring and positive community. We welcome those of different cultures, ethnicities and beliefs – indeed this very diversity is vital to our success, it is fundamental
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working community. With over 30,000 students and 7,000 staff from 150 different countries, we offer a diverse and engaging environment where our diversity is celebrated and valued as a major strength. We
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Experience in devising and developing novel machine learning algorithms Hands on experience with ROS and physical robots Excellent mathematics skills, particularly in areas relevant to robotics and AI
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and molecular mechanisms that act within these sites, and to determine how these events lead to a balanced immune response in different conditions and physical constrains imposed by each organ
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-disciplinary research environment Desirable criteria 1. Experience in devising and developing novel machine learning algorithms 2. Hands on experience with ROS and physical robots 3. Excellent