17 sensor-algorithm "Prof" PhD positions at University of Nottingham in United Kingdom
Sort by
Refine Your Search
-
addressed to Prof. Carol Eastwick, carol.eastwick@nottingham.ac.uk Interested in this studentship? Applications with a CV, cover letter and academic transcripts should be sent to hadrian.moran
-
of two referees, should be sent directly to Prof. Tanvir Hussain (tanvir.hussain@nottingham.ac.uk ). Closing date: Until Filled View All Vacancies
-
. The student will be supervised by Prof James Goulding (Nottingham University Business School) and Prof Tracey Thornley (University of Nottingham), Dr Alex Elliot, Dr Nicola Love and Prof Charles Beck (UKHSA
-
placements of up to a month in the partner institution’s laboratories. Supervisory Team: Prof. Derek Irvine, Dr Adam Dundas, Prof. Morgan Alexander Funding notes: The studentships are fully funded for 42
-
to produce anti-counterfeit markings, dye-free colour images, humidity and chemical sensors, anti-glare coatings and optical filters. This project will develop additive manufacturing of devices with actively
-
home tuition fees only and a tax-free stipend. Applications are only open to students who qualify for UK home tuition fees. Supervisors: Prof Tricia McKeever (Professor of Epidemiology and Medical
-
4-Year PhD Studentship: Deciphering how domain organisation regulates heparan sulphate function Supervisors: Prof Cathy Merry, Prof. Kenton Arkill, Dr Andrew Hook Closing Date: 15 July 2025 Overview
-
developed. This project is available from 1st October 2025. Applications accepted until post is filled. Informal inquiries can be made via email to Prof. Chris Bennett (c.bennett@nottingham.ac.uk
-
detailed CV and a cover letter, together with the names and addresses of two referees, should be sent directly to Prof. Tanvir Hussain (tanvir.hussain@nottingham.ac.uk ). View All Vacancies
-
machine learning algorithms and to assess when AI predictions are likely to be correct and when, for example, first principles quantum chemical calculations might be helpful. Predicting chemical reactivity