Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
University of Michigan, with partners at University of Wisconsin and Texas A & M University. Using novel satellite observations in combination with new modelling developments and cutting-edge hyperspectral
-
well as the extensive staff development programme offered by the University, CLCC staff, their family and friends can also make use of a generous fee discount for our adult education courses. This is a part time
-
Project Manager to lead this transformation, overseeing a programme with an initial capital investment of £3 million in 2025/26 and a total estimated value of £12 million over five years. In this role, you
-
independent and original research, submit publications to refereed journals and support the activities of the research group. You will have the freedom to develop your own research program alongside other
-
science Experience in the development of collaborative research programmes in field A track record in attracting research funding Experience of training students at undergraduate and postgraduate levels. A
-
We are looking for a Laboratory Manager to support our research programme developing cutting-edge transcranial ultrasound technology for brain imaging and interfacing. Funded by EPSRC and ARIA
-
significant balance sheet with assets of £2.5bn and we are embarking on a 10-year, £2bn+ capital infrastructure programme to ensure that it has the research and education facilities it requires to maintain its
-
We are recruiting a postdoctoral research scientist to lead virus evolution and bioinformatic data analysis for our program on wastewater surveillance for pandemic pathogens. The world has never
-
-functionally to develop actionable plans. With regular communication with senior leadership, you'll oversee recognition programmes and motivate teams to thrive. You will play a central role in shaping and
-
The main objective of this post-doctoral research associate position is to develop and implement advanced machine learning methods for constructing latent spaces for multi-modal data integration