Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
-funded Imaging Machine learning And Genetics in Neurodevelopment (IMAGINE) lab, in the Research Department of Biomedical Computing. The post will benefit from the extensive and broad expertise in AI and
-
qualified in computer science, mathematics, physics or similar disciplines * Demonstrated expertise in artificial intelligence, machine learning, deep learning, and data mining methods and algorithms Proven
-
will be responsible for establishing and maintaining colonies of genetically modified mice, including fluorescence reporter lines and mice with mutations causing JE defects. In addition, the technician
-
will be part of an institution that values innovation, collaboration, and the advancement of knowledge in genetics and beyond. The Department of Medical and Molecular Genetics is located in the life
-
colonies of genetically modified mice, including fluorescence reporter lines and mice with mutations causing JE defects. In addition, the technician will contribute to the research on the project and support
-
Job id: 140845. Salary: £39,076 per annum, including London Weighting Allowance. Posted: 12 March 2026. Closing date: 26 March 2026. Business unit: IoPPN. Department: Social, Genetic & Dev
-
, algorithms and theoretical computer science, cyber security, communication and information technology, and systems development and evaluation. We teach in the Bachelor of Science, Technology, and Engineering
-
undertake research across a wide range of computing fields, including software engineering, data science, algorithms and theoretical computer science, cyber security, communication and information
-
the “ground plan” of the brain is genetically determined, it is also influenced by environmental experience. We are still far from a complete understanding of how these processes work. CDN is one of four
-
Children’s health, Nutritional Sciences, Population Health Sciences, Ophthalmology and Twins & Genetic Epidemiology, overall covering the complexities of life course health & disease from individual cells