Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- ;
- University of Cambridge
- AALTO UNIVERSITY
- ; City St George’s, University of London
- ; Brunel University London
- ; Swansea University
- ; University of Birmingham
- ; University of Exeter
- ; University of Hertfordshire
- ; University of Leeds
- ; University of Nottingham
- ; University of Reading
- University of Manchester
- University of Newcastle
- University of Nottingham
- 5 more »
- « less
-
Field
-
triboelectric nanogenerator (TENG) to sustainably power ingestible medical devices. The aim is to harness mechanical energy from natural intestinal peristalsis to enable battery-free operation of autonomous
-
). This mechanism allows for the room-temperature control over polariton condensation Nature Photonics 13 378 (2019) , enabling nonlinear optical switching at extremely low optical signals - down to the single-photon
-
impact on water quality and aquatic biodiversity. Fieldwork (1–2 days/week) will involve surveying aquatic plants and invertebrates, while lab work includes processing water and sediment samples using
-
-centred operation (NCO) information, including positions, threats and airborne warning and control systems (AWACS). Streamlined and effective decision making in complex scenarios. Natural interaction and
-
ability, and a fluent spoken English is needed in this work. What we offer? This position is foreseen to run from Spring 2025 onward, but the start date is partially negotiable. The position will be filled
-
communication skills and excellent written English skills Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
-
communication skills and excellent written English skills. Evidence of ability to compile and analyse quantitative and qualitative data, prepare reports and present results to summarise main research findings and
-
involve leveraging advanced natural language processing and medical image analysis to transform imaging data into clinically relevant information. Additionally, it will explore the use of multimodal fusion
-
on the closing date. If you have any questions about this vacancy, please contact Dr Burigede Liu, (bl377@cam.ac.uk ) for queries of a technical nature related to the role and Liz Howard, (eh301@cam.ac.uk
-
field. A background in organic chemistry, and/or high-throughput experimentation is desirable. Proficiency in programming languages (Python/MATLAB) commonly used in machine learning applications is