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, bionanotechnology, or a related field. You have direct experience of recombinant protein expression and purification in bacterial hosts, and characterise proteins and their assemblies with standard biophysical
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: Host strain screening and engineering for microbial bioprocess development; microbial physiology and adaptation for industrial applications; high-throughput screening and automation for strain
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cognitive flexibility tasks (eg, reversal learning, set-shifting), including participant recruitment, data acquisition, and quality control. Process and analyse high-density EEG data, including artefact
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Hours of work: Full-time – 1 FTE Tenure: Fixed term available from 1 January 2027 to 30 June 2030 (42 months) You will work on a project led by Professor Michelle Henning, as part of a team involving 3 postdoctoral researchers and 3 PhD students, plus an administrator, and hosted in the Centre...
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Hours of work: Full-time – 1 FTE Tenure: Fixed term available from 1 January 2027 to 30 June 2030 (42 months) You will work on a project led by Professor Michelle Henning, as part of a team involving 3 postdoctoral researchers and 3 PhD students, plus an administrator, and hosted in the Centre...
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expanding on this work to help further our understanding of both the investigated systems and the EDMR technique applied to organic materials. About you Applicants must hold a PhD in Physical Chemistry or a
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where possible This post is to work on the Horizon funded project SaliNova: Advancing Europe’s Capacity to Monitor, Predict and Manage Soil Salinization for Adaptation and Mitigation with Novel Data and
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We are seeking to recruit a researcher to join AIchemy’s Research Theme I (Human-in-the-Loop). This role is at the cutting edge of autonomous robotic chemistry, focusing on the development
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structure, charge, and instrument parameters influence OrbiSIMS spectra. You should have a PhD degree in in computational chemistry, biophysics, molecular modelling, or a related field, and experience
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, the largest and most comprehensive dataset on multiple sclerosis (MS), encompassing longitudinal data from over 40,000 individuals, some tracked for more than a decade. You will be responsible for advancing and