Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
. For more information regarding this position, you are welcome to contact Prof. Wilfred G. van der Wiel via the following email address: W.G.vanderWiel@utwente.nl. Screening is part of the selection procedure
-
Research Studentship in ‘Deformation and fracture of TRISO fuel particles’ 3.5-year DPhil studentship Supervisor: Prof Dong Liu, Prof Emilio Martinez-Paneda About the Project The proposed PhD
-
learning. Supervisor: Prof. Udo Bach, Department of Chemical and Biological Engineering. (Email: udo.bach@monash.edu ) Manipulating light at the nanoscale Supervisor: Dr Alison Funston, School of Chemistry
-
photonics’, led by Assoc. Prof. Thomas Christensen, who moved from MIT to DTU in 2023. Funded by a Villum Young Investigator program (link ), the project aims to uncover novel kinds of photonic topology using
-
Research Studentship in Numerical Optimisation and Control 3.5-year D.Phil. studentship Project: Embedded Optimisation for Autonomous Spacecraft Control Supervisors: Prof Paul Goulart The project
-
and developing novel analytical techniques. Supervisors Prof. Alan Smith and Prof. Gordon Morris - Biopolymer Research Centre, School of Applied Sciences, University of Huddersfield This opportunity is
-
Support Grant of up to £5,000 Access to Disabled Student Allowance, paid sick leave and paid parental leave Supervisor: University of Warwick: Dr Arnab Palit, Prof Andy Metcalfe Eligibility: Satisfy UKRI's
-
Svensson (IMA), NTNU. In addition, co-supervisors will be appointed, from the Industrial Ecology Group, Faculty of Engineering (Prof. Anders Strømman), Sustainable Electrical Energy Group
-
embedded in the research programme of FEB’s Research Institute. The project will be supervised by Prof. Robert Lensink (Faculty of Economics and Business), email: b.w.lensink@rug.nl , Prof. Han Olff (Faculty
-
. The start date is October 2025. Are you passionate about applying computational science to real-world engineering problems? Do you want to develop digital twins of materials that can predict performance and