27 computer-science-intern-"https:" "https:" "https:" uni jobs at University of Manchester
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their careers and achieve their goals. This includes students on our full time MBA programme which is consistently ranked in the top 50 in the world, along with our range of MSc programmes and our part time
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The Rice Lab within the Division of Musculoskeletal and Dermatological Sciences wish to appoint a laboratory-based Research Associate with mass spectrometry-based proteomics experience
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maintain good relations with internal and external stakeholders Key objectives will include: Implement operational targets set by the Head of Technical Operations, and the Technology Platform Management
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well as with an international team of collaborators including clinicians, computer scientists, and mathematicians. The team is dynamic and ambitious as well as being welcoming and supportive. The applicant
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. For more information please visit https://www.se.manchester.ac.uk/ . The Particle Physics group supports a broad research programme in both experimental and theoretical particle physics. The group comprises
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leading the higher education sector in defence research, and this position offers a unique opportunity to contribute to a nationally significant programme. Reporting to the Operations Manager, you will lead
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interpretation of extra-terrestrial materials. You can find out more about the research group at https://sites.manchester.ac.uk/planetary-science/ . The post is funded by an STFC Consolidated Grant and a Royal
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established strengths in aerospace, cognitive robotics, mechatronics and beyond, while also cultivating partnerships with the aircraft industry and international research groups. Through this, the successful
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achieved and a thermo-capillary or ‘keyhole’ region is formed in which the beam can undergo multiple internal reflections. Understanding the evolution of this keyhole region and surrounding liquid metal has
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and materials engineering. They will do this by integrating modern data-centric approaches, such as physics-informed machine learning, structure-aware modelling, and digital-twin methodologies, with