-
research into planet formation/protoplanetary discs or the ISM/star formation and may also have some experience in statistical methods and/or machine learning. Dr Winter and QMUL are committed to improving
-
About the Role You will develop and apply novel computational methods to quantify the societal impact of fundamental science discoveries. Candidates close to completion of their PhD will initially
-
for NHS ethics and Health Research Authority approvals. You will have experience in mixed methods research, particularly with expertise in qualitative methods and be committed to conducting research
-
decisions during the pre-conception, antenatal, and post-partum periods. The post-holder will undertake original, practice-based design research, drawing on participatory and co-design methods, as
-
will compare the development of annelids and molluscs and combine single-cell transcriptomics with classic embryological approaches and state-of-the-art computational methods. The findings from
-
Institute and RiverD International. The successful candidate will adapt existing and develop and test new methods for detecting metastatic lymph nodes based on their molecular signatures as captured by AF and
-
responsibilities will include: Pre-registering data analysis plans; Leading and conducting advanced statistical analyses (e.g., twin/family designs, genomic and epidemiological methods, longitudinal modelling
-
applications from candidates wishing to work flexibly. *PhD candidates who have not yet received their PhD, will be appointed with a salary of £37,889 until they can provide copy of the formal award, at which
-
, which include a short book on creative and curatorial methods, a digital festival and a digital archive. Assisting the Project Leader with management and administrative tasks, including creating website
-
the utilisation of upcoming facilities such as the Square Kilometre Array Observatory. The Astronomy Group specifically focuses on applying advanced Artificial Intelligence (AI) methods to astrophysical research