348 data-"https:" "https:" "https:" "https:" "https:" "https:" "SciLifeLab" "IFM" "IFM" positions at University of Nottingham
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-2215 and Sun 1445-2215. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. If you have any questions about this role
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0645-1500, Fri 0645-1500, Sat 1445-2215 and Sun 1445-2215. Week 4 Tues 0645-1500, Weds 1115-1930, Thurs 1115-1930 and Fri 1115-1930. Further information is available in the role profile. To apply
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enriches life on campus. We welcome applications from UK, Europe and from across the globe. For more information on the support we offer our international colleagues, see our Moving to Nottingham pages
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for the Institute coordinating and documenting the deliveries and manning a goods in desk for distribution of the goods In addition, you will be dealing with post and telephone enquiries, entering, and checking data
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programme, administrating the flexible fund, managing the web site, the social media presence and collating the information for the monthly news bulletins for all sent Network members. The successful
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using a university fleet vehicle a full, current driving licence would be desirable. Further information on the experience and qualifications required for this post can be found on the attached Role
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Registry and Academic Affairs, and we look forward to hearing from you. Further information surrounding the work we do; our teams and our mission is available online. What will you be doing? As part of our
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, including fitness and health facilities, staff discounts, travel schemes and many more. To find out more about what we can offer you, follow the link to our benefits website Further information is available
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that deliver healthier indoor environments, lower carbon emissions, and long-term building performance. By integrating Passive House and EnerPHit principles with real building data, the research will support the
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the Faculty of Engineering, plus those housed in Plant Biosciences at the Sutton Bonnington campus. Data sets will be generated using simulated and experimental data and these will be used to train networks