-
We are seeking a highly motivated Postdoctoral Research Scientist with a strong background in human induced pluripotent stem cell (iPSC) differentiations and computational analysis to join Dr
-
calendars, the preparation and distribution of agendas and taking, transcription and distribution of minutes, and follow up of action points arising from meetings. You will be educated to at least A-Level
-
. Armed with this information, the post holder will use cutting-edge paleoclimatic modelling that incorporates nutrient cycling and carbon chemistry (HadOCC) to infer the distribution of potential feeding
-
distribution of immune cells using analyses such as immunohistochemistry or immunofluorescence. You will have expertise in developing multi-parameter (>4 colour) immunofluorescence approaches, experience in
-
calendars, the preparation and distribution of agendas and taking, transcription and distribution of minutes, and follow up of action points arising from meetings. You will be educated to at least A-Level
-
Nathalie Seddon (current Director, who would become co-Director) and oversee the Agile programme management team (the ‘Engine Room’). The MG reports to the Agile Executive Board, chaired by Professor Patrick
-
of agentic behaviour and publishing high-impact research. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
-
Postdoctoral Research Associate in Forest Resilience, Climate Change, and Human Health in the Amazon
of tropical forests in the Amazon and on how these relate to the distribution of vector-borne diseases in the Amazon forest. The post holder will carry out their research, advised by the PI and Dr. Milton
-
the Faculties of Linguistics, Philology, and Phonetics and Modern Languages. Division of time between the two Faculties to be flexibly distributed according to contingencies, as determined by the IT Manager
-
applications. Applications are sought from across a diverse set of disciplines under the Information Engineering umbrella, including, for example, physics-informed machine learning and AI, computer vision