148 algorithm-development-"Multiple"-"Prof"-"Simons-Foundation" positions at University of Manchester
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
building and maintaining strong relationships across academia, government, and industry. A key part of the role involves developing and implementing communication strategies, including oversight of the NSEC
-
related subject area, will show evidence of a clear interest in and experience of teaching, and skills in and commitment to the developing the quality of the student experience. You will join a vibrant and
-
, continuous challenge by exposome factors can promote development of chronic inflammatory diseases (CIDs) within this tissue, as well as systemically. Thus, defining the cellular networks that underpin
-
to the success of the researchers. This role will be within the Research Infrastructure and Platforms Team which comprises 25+ IT specialists developing and delivering a number of services to the University
-
transcriptomic organisation, using high-resolution single-cell and spatial transcriptomic data. The successful candidate will develop computational frameworks to integrate and analyse multi-modal datasets
-
child health. The successful candidate will contribute to the development of advanced mathematical and computational models to analyse high-dimensional multi-omic datasets, including genomics
-
closely with students, regulators, NHS and community partners, you will drive the development of new programmes and pioneering approaches to dental education, ensuring an outstanding student experience
-
will focus on the investigation of the applications of molecular and ionic transport through capillaries made from 2D materials and heterostructures which will lead to technological development of 2D
-
cutting-edge machine learning methods for spatial omics and for multi-modal data integration. The post-holder will also collaborate on the development of new computational methods to support the CoRE’s
-
development of a computational pipeline that integrates multi-omic data at the cellular level across exposomes and diseases, revealing novel biology and shared mechanisms of immune regulation. You will be