Sort by
Refine Your Search
-
Employer
- AALTO UNIVERSITY
- Durham University
- Imperial College London
- King's College London
- UNIVERSITY OF VIENNA
- University of London
- Heriot Watt University
- Lund University
- Queen Mary University of London
- The Rosalind Franklin Institute
- University of Cambridge
- University of Dundee
- University of Glasgow
- University of Newcastle
- 4 more »
- « less
-
Field
-
isolate disease-specific regions and uncover localised niches of inflammation. Additionally, you will characterise complex ligand-receptor interactions, with a specific focus on dissecting the crosstalk
-
science focussed: Newly created processes for T Level placements at Durham University and industry partners Resources and networks created between the project and Further Education college curriculum leads
-
refine LCA models to assess the environmental impacts of bio-based products and systems using software tools such as OpenLCA. Analyze complex datasets to identify key areas for improvement in environmental
-
decision-making. They will have strong knowledge of machine learning research methods, excellent programming skills, and the ability to communicate complex ideas clearly to academic and non-specialist
-
postnatal network dynamics in the mouse cerebral cortex, under the supervision of Prof. Oscar Marín. This is a full time (35 Hours per week), and you will be offered a fixed-term contract until 31/12/2027
-
computing, and what the fundamental limits are. Your network and team You will work in the research group of Jukka Suomela . This is one of the leading research groups in the areas of theory of distributed
-
interact with such technologies due to their complexity and lack of transparency. Electronic voting systems are a prominent example, where strong technical guarantees may coexist with limited usability
-
, machine learning, governance and operations, we aim to address the complex challenges and opportunities of space exploration. CfAI is a large research group in the Department of Physics at Durham University
-
, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based on super-resolution fluorescence and CryoET and will need to analyse data. We
-
Job Purpose To make a contribution to an ERC-funded project Dynamic network reconstruction of human perceptual and reward learning via multimodal data fusion, working with Prof. Marios Philiastides