9 unconventional-computing Fellowship positions at University of Leeds in United Kingdom
Sort by
Refine Your Search
-
the ESRC Smart Data Research UK programme (https://www.sdruk.ukri.org/ ). HASP enables high quality, novel and robust research utilising Smart Data. In collaboration with data and delivery partners, it
-
have a PhD or be a PhD candidate who has already submitted your thesis prior to starting the position, with a research track record on artificial intelligence, data science and computational social
-
Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
-
Universities? You will join a collaborative programme with Merck Electronics KGa, a world-leading company working in liquid crystals. You will work with a team of scientists from the company along with Dr
-
Do you want to make a difference in patients’ quality of life by creating innovative robots that are able to treat incurable diseases? Are you excited about contributing to scientific research in surgical robotics? Are you able to think outside the box to find innovative solutions to...
-
Grade 7 (£41,064 – £48,822 p.a. depending on experience) This role will be based on the university campus, with scope for it to be undertaken in a hybrid manner. We are also open to discussing flexible working arrangements. Are you an experienced and ambitious researcher looking for your next...
-
Would you like to improve knowledge of Arctic fires and air pollution? Do you have a background in atmospheric modelling? Would you like the opportunity to work with a large international team of researchers? We seek to appoint a research fellow in Modelling of Arctic Atmosphere and Wildfire...
-
curriculum change project (Curriculum Redefined) that spans all undergraduate programmes. Stakeholders include students, module and programme leads, and student education leaders across the institution
-
can support both health and mobility outcomes. The successful candidate would be responsible for the more technical parts of this project, leading the computational modelling of charging infrastructure