40 phd-in-concrete-and-structural-engineering Fellowship positions at UNIVERSITY OF SOUTHAMPTON in United Kingdom
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Time Fixed Term Closing Date: Thursday 23 May 2024 Interview Date: To be confirmed Reference: 2699824DA Are you a passionate engineer with a PhD/ working towards your PHD who is eager to push the
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existing test sites. You will be expected to disseminate the technology and results by preparing journal papers and by presenting at relevant international conferences. You should have a PhD or equivalent
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Mechanical Engineering Location: Highfield Campus Salary: £34,980 to £40,521 per annum Full Time Fixed
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4 Jun 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Computer science Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1
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Phil Williamson developing methods to investigate how the cellular milieu influences the folding, structure and function of large molecular complexes including amyloid fibre structure and integral
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thickness and the crustal velocity structure. The flowline also crosses several existing IODP Sites where the composition of the upper igneous crust has been sampled. This unique combination of datasets will
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3 May 2024 Job Information Organisation/Company UNIVERSITY OF SOUTHAMPTON Research Field Engineering Engineering Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Established
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, educated in a relevant subject area and have practical laboratory experience of antibody biology and antibody engineering. Experience of myeloid cell biology would be an advantage but is not critical. You
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an EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Digital Health & Biomedical Engineering Location: Highfield Campus Salary: £36,024 to £40,521
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post for a post doc/research software engineer to work on EPSRC grant EP/W030756/2: “aeon: a toolkit for machine learning with time series”. aeon is an easy-to-use, scikit-learn compatible toolkit for a