66 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Dr" "Helmholtz Zentrum Hereon" PhD positions at University of Nottingham
Sort by
Refine Your Search
-
with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http
-
, preferably at Masters level (in exceptional circumstances a 2:1 degree can be considered). To apply visit: http://www.nottingham.ac.uk/pgstudy/apply/apply-online.aspx For any enquiries about the project please
-
. Gordon Airey, Dr Anand Sreeram, Dr Nick Thom, Dr Richard Taylor Programme length: Four years (full‑time) Start date: 2026/27 academic year Keywords: biogenic supply chains, sustainable materials, biobased
-
Principal supervisors: Dr Thomas Bestwick-Stevenson (School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk Professor Kimberley Edwards (School of Medicine, Professor
-
Principal supervisors: Professor Kimberley Edwards (School of Medicine, Professor of Sport, Exercise, and Nutrition Education – kimberley.edwards@nottingham.ac.uk Dr Thomas Bestwick-Stevenson
-
data-driven methods to develop an inverse design framework for manufacturing systems. Together, we will advance the capability to design manufacturing systems that embed reliability, resilience
-
architecture and ecology to advance research on green urban spaces. You will work with: Dr Renata Tubelo, Assistant Professor in Sustainable Architecture and Climate Literacy, Faculty of Engineering Dr Lorna
-
Dr Luisa Ciano, Dr Anca Pordea and Dr Rob Holland Application deadline: 07/04/2026 Starting date: Oct 2026 Funded PhD project (UK students only) Vision We are looking for a highly motivated PhD
-
Principal supervisors: Dr Thomas Bestwick-Stevenson (School of Medicine), Teaching Associate – thomas.bestwick-stevenson@nottingham.ac.uk Professor Kimberley Edwards (School of Medicine, Professor
-
the network, and every synapse is updated, on every epoch. Recent work has begun to challenge both halves of this independently. Progressive Data Dropout has shown that progressively reducing the training set