25 Statistics "Wellcome Sanger Institute " Postdoctoral positions at University of Oxford in United-Kingdom
-
will hold (or be close to completion of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent
-
remotely). You will have or be close to the completion of a PhD or equivalent in computational sciences (Mathematics, Engineering, Computer Science, Statistics), together with relevant research experience
-
, statistics, mathematics, engineering or other relevant areas and have up-to-date knowledge in advanced AI topics, such as deep learning, representation learning, sequence models, NLP, multimodal AI, generative
-
imaging data, using conventional analyses and machine learning, to provide new evidence of pathogenicity of proteins and pathways across MSK diseases. You will provide bespoke statistical analysis plans
-
, and the statistical evaluation software used for limit setting or discovery. They will contribute to LZ operations and performance optimization. This will involve adapting existing and developing new
-
is essential, as well as a high level of expertise in R coding and the application of statistics to multivariate datasets. The person hired will be required to travel to the Royal Botanic Gardens
-
of) a PhD in epidemiology, nutritional epidemiology, molecular epidemiology, medical statistics or other relevant subject. You will also have an excellent understanding of statistical analysis
-
learning, statistics/Bayesian probability is essential. You must be able to demonstrate the ability to mentor and supervise research students and assistants as well as the ability to work independently and
-
completion of a project. You will hold a PhD degree (or near completion) in a discipline of direct relevance to computational genomics and/or statistical genetics, have the ability to deliver high-quality
-
to work collaboratively across disciplinary boundaries is essential. The successful candidate must hold a relevant PhD/DPhil in information engineering, computer science, statistics or a commensurate