19 assistant-and-professor-and-computer-and-science-and-data PhD positions at University of East Anglia in United-States
-
spectroscopic methods suitable for large-scale sample screening and eventual field deployment. The project will also involve developing your skills in data science, including multivariate analysis, machine
-
tests) and patient reported measures. Professors Guy Leschziner (neurology) and David D’Cruz (rheumatology) will be clinician advisors on this project. The student will also help co-ordinate
-
: environmental monitoring, AI, computer vision or multispectral imaging. Entry Requirements At least UK equivalence Bachelors (Honours) 2:1. English Language requirement (Faculty of Science equivalent: IELTS 6.5
-
observations and modelling of the physics and biogeochemistry of Antarctic shelf seas. You will gain experience in computer coding, statistics for environmental science, working with and piloting autonomous
-
each category). Acceptable first degree: Geophysics, Geology, Computer science, Physics, Environmental Science Mode of Study Full-time Start Date 1 October 2026 Funding Information ARIES studentships
-
requirement (Faculty of Science equivalent: IELTS 6.5 overall, 6 in each category). Mode of study: Full-time Additional Funding Information This project is awarded with a 4-year Norwich Research Park
-
Finance Engineering (Mechanical, Electrical, Civil, etc.) Data Science Start Date 1 October 2026 Funding ARIES studentships are subject to UKRI terms and conditions . Successful candidates who meet UKRI’s
-
ability to evaluate fossil fuel CO2 (ffCO2) emissions is currently limited. ‘Bottom-up’ emissions estimates, based on inventory-style accounting and mobile tracking data, can differ significantly from each
-
will receive hands-on training in spatial data analysis, while developing conceptual understanding and critical thinking in movement ecology, marine science and conservation. You will build strong
-
of Science equivalent: IELTS 6.5 overall, 6 in each category). Acceptable first degree: Biology/Ecology degree (or related), including genetics, genomics, evolution, and/or conservation, and with data handling