Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- University of Nottingham
- University of Birmingham
- Nature Careers
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The Francis Crick Institute;
- University of Birmingham;
- Cambridge, University of
- Imperial College London
- King's College London
- Queen Mary University of London;
- The University of Edinburgh;
- Trinity College Dublin
- UCL;
- University College London
- University of Nottingham;
- Xi'an Jiaotong - Liverpool University
- 6 more »
- « less
-
Field
-
inheritance during development. You must be ambitious and able to work independently. Applicants should have, or will soon have, a PhD in genetics, biochemistry or molecular biology with a basic knowledge of
-
dementia, driving a step change in our understanding of neurodegeneration, and accelerating the discovery, development and delivery of interventions that will help diagnose, treat, and ultimately prevent
-
motivated and independent researcher with a strong interest in spatial gene regulation, root–soil interactions, and molecular cell biology. Applicants must hold (or be nearing completion of) a PhD in
-
supplemented, enhanced, and analysed during the project. We will use digital imaging and other techniques to recover new texts and will deploy approaches from Computational Linguistics (including Large Language
-
subteam including supervision of PhD student(s) and will work in close collaboration with experts at Edinburg University, Imperial, Manchester University and other partners in computational biology, genome
-
the underground infrastructure theme within the Quantum Technology Research Hub in Sensors, Imaging and Timing (www.quisit.org ). The successful candidate will focus on designing and conducting large scale
-
. Ying Weng is Course Director for Computer Science with Artificial Intelligence, Professor in Computer Science. She obtained PhD in Signal & Information Processing at Chinese Academy of Sciences, and
-
under extreme high pressure conditions, to gain a full picture of the physics in a material’s phase diagram and to understand newly-discovered phases as much as possible. You will be responsible
-
will work closely with the Principal Investigator (PI), Co-PI, and the research team to develop deep learning-based computer vision algorithms and software for object detection, classification, and