56 parallel-and-distributed-computing-"Multiple" research jobs at University of Cambridge in United Kingdom
Sort by
Refine Your Search
-
Fixed-term: The funds for this post are available for 12 months A position is available for a Postdoctoral Research Associate (Postdoc) in the forthcoming Aspirational Computing Lab in
-
the field of Computational Morphodynamics in plants. The work will be within the ERC-funded project RESYDE (https://resydeproject.org ) with the aim of building a virtual flower using multi-level data and
-
: Rethinking AI for Just and Sustainable Futures programme. CFI is a highly interdisciplinary research centre addressing the challenges and opportunities posed by artificial intelligence (AI). Funded by
-
fast reactor (SFR) and gas-cooled fast reactor (GFR) designs closer to commercialisation. The projects bring together multiple research and industry partner organisations across Europe. The post-holder
-
into the genomics of population structure and speciation in the Malawi cichlid genus Labeotropheus. This post will build on past work in which over 1000 samples of Labeotropheus from multiple species/populations have
-
Natural Language Processing (NLP) in the areas of culturally aware NLP or multilingual conversational NLP, and integration of such methods to support language technology in multiple languages
-
hundreds of samples from multiple independent marine transmissible cancer clones. The role provides an exciting opportunity to combine single-cell cancer genomics with molecular cytogenetics and statistical
-
hours (e.g., occasional evenings, early mornings or weekends) and assist multiple group members with their projects. Ability to work independently and as part of a team in a fast-paced environment. Strong
-
complex research projects involving multiple interdependent components. Experience in programming (python) and applying AI-assisted technologies to streamline research and analysis workflows is highly
-
seeking access to housing and labour markets. Second, the research will broaden beyond ethnicity to include multiple dimensions of exclusion, such as gender, age, and disability. While spatial analysis and