-
for a post-doctoral academic trainee training in neurology with outstanding potential to develop a successful academic career within a thriving and supportive environment. The lectureship programme will
-
Understanding, preferably with expertise in video understanding or 3D Vision. Prior degree in computer science, engineering or mathematics. Detailed knowledge of video understanding state-of-the-art, approaches
-
Adrian Flint, Director of Programme Planning, Adrian.Flint@bristol.ac.uk Contract type: Fixed Term until 31/08/2026 (cover role) Work pattern: 100% time Grade: J Salary: £42,882 - £48,149 per annum School
-
to continually up-date personal exercise knowledge. Through a varied work program flexibility is required to deliver across our Class, Health Minds, PT as well as gym floor supervision at one of our Health
-
of the following points describe you: Computer and keyboard literate with excellent interpersonal skills. Can work under pressure and alone at times. An ability for 'key questioning' as callers are often confused
-
the molecular mechanisms of early events that lead to the degradation of nonsense mRNAs. Showing a high degree of independence, you will drive an ambitious research programme to determine the structure and
-
We are seeking to make an appointment at Lecturer grade (internationally equivalent to Assistant Professor level) in the area of Assistive Robotics Technologies. You will be joining a vibrant and intensive research environment at the University of Bristol, ranked fifth for research in the UK (UK...
-
://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/ Contract type: Open ended Work pattern: Full time Grade: K Salary: £49,559 - £55,755 per annum School/Unit: School of Computer Science This advert will close at23
-
university level in subjects relevant to the Engineering Mathematics teaching portfolio. You should have a good honours degree and have (or expect to have soon) a PhD in Mathematics, Computer Science, Physics
-
that is pioneering transformative edge computing solutions including novel semiconductor devices, design and implementation of energy-efficient hardware, embedded machine learning and sensor-integrated