716 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "Linköping University" positions at University of Sheffield
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Carry out a plan of experimental research, contributing as a team member to the group and Nextrode project. Develop new and/or modify existing particle formation techniques to generate particles with
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supporting materials and quote “[S3.5-COM-CChen2] - Your Current Programme – Name”. E.g, “[S3.5-COM-CChen2] - MSc-University of XXX–Chen Chen” in your email subject. About the main supervisor, Dr. Chen: https
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routes and non-standard programmes. Operating within a central team, you will develop specialist knowledge of a portfolio of programmes and associated processes, working closely with department colleagues
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-engineering services for health, maximising person centred care) is a research and innovation programme to transform care for people with multiple long term conditions. It represents a partnership between
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), and high-resolution mass spectrometry analysis of root exudates. The project also provides opportunities to develop computational data analysis skills. CANDIDATE PROFILE We seek a highly motivated
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systems Produce detailed and complex designs and cad drawings for academics and students using CAD software. Program machine tools effectively using CAM software also having the ability to produce programs
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/week Duration: March 2026 – March 2028 Line manager: Professor &/or Senior Scientist &/or Research Fellow Direct reports: Professor &/or Senior Scientist &/or Research Fellow Our website: https
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their programme. The ideal candidate will have outstanding customer service and interpersonal skills, and an ability to put people at ease through sophisticated and sensitive verbal and non-verbal communication
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- End Date 31/5/2028 Line manager Mark Taylor Direct reports n/a Our website https://www.sheffield.ac.uk/education For informal enquiries about this job contact Mark Taylor, Senior Lecturer in
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Combining Experimental and Computational Biophysics to Understand the 'On/Off' Switches of Cellular Machines (C3.5-MPS-Ciani) School of Mathematical and Physical Sciences PhD Research Project