Sort by
Refine Your Search
-
are seeking talented candidates with: First or upper second-class degree in Robotics/Mechanical/Cybernetics/Mechatronics /Computer Science or related scientific discipline. First-rate analytical and numerical
-
Masters degree (or expected to gain a Masters within 6 months). The ideal candidate will also have experience of working with healthcare professionals, patients with mental health conditions; and research
-
, control, and manufacturing problems in real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related
-
for real-world applications. We are seeking talented candidates with: •First or upper second-class degree in mechanical, mechatronics, robotics, cybernetics or related scientific discipline. • First-rate
-
candidates with: ◾First or upper-second class degree in Robotics/Computer Science/Cybernetics/Mechatronics/Mechanical or related scientific discipline ◾First rate analytical and numerical skills, with a well
-
novel computational imaging and sensing techniques for compact imaging systems. These systems are applicable to all sectors which require compact imaging specifications, but will have a primary focus on
-
a yearly stipend of £20,780 and is for a period of three years to commence on 1st October 2025. How to apply Applicants should have: A 2.1 or higher honours degree in a social science, and A master's
-
requirements: Applicants should have, or expected to achieve, at least a 2:1 Honours degree (or equivalent if from other countries) in Chemistry, Chemical Engineering or a related subject. An MChem/MSci-4-year
-
: Starting October 2025, we require an enthusiastic graduate with a 1st class degree in engineering, maths or a relevant discipline, preferably at Masters level (in exceptional circumstances a 2:1 degree can
-
prospective novel targets for neurodegenerative disease. The primary responsibility will involve research activities supporting the project, practically contributing to activities across methodologies (e.g