Sort by
Refine Your Search
-
apply techniques such as machine learning on large datasets to develop prediction models and AI methods to optimise instrumentation used in the diagnosis and treatment of eye disease. The appointee
-
aimed at educating the public and bringing transparency to this emerging science. About the role The post holder will develop diagnostic and other biomedical sensing methods using the optical and spin
-
. The post holder will have demonstrable experience with atomistic/molecular simulation methods, alongside knowledge of nanoporous materials (e.g. MOFs, zeolites or porous polymers) and adsorption
-
About us In our atomic force microscopy (AFM) laboratory, headed by Prof. Bart Hoogenboom, we have pioneered AFM methods and their application, from atomic-resolution imaging in liquid, via double
-
uncertainty. The work will develop new methods for generating privacy-preserving data that remain useful for the operational decisions ultimately made from them, rather than treating data generation and
-
in Drosophila husbandry, maintenance, genetics, and behavioural assays. You will also have experience of molecular biology techniques and confocal and/or live imaging methods. Knowledge of
-
relevant standards and regulations (e.g. ISO 13485, ISO 14971, IEC 60601, UK MDR) is desirable, as well as experience of applying signal processing or machine learning methods to physiological or