Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
• Access to computing resources, datasets, and industry case studies • Support for professional development, conferences, and dissemination (subject to funding) • Opportunity to help build and lead a
-
predictive modeling and can use critical thinking to assist with clinical trial design. • Familiar with data sets, computing, statistics, and writing protocols. Recruitment is open immediately and will
-
, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
-
science, computational biology, engineering, statistics, mathematics.). Experience and interest in prediction modelling Proficient in statistical software and programming languages and familiarity with relevant libraries
-
to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised
-
necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in Computer Engineering, Computer Science, Electronics Engineering or
-
applications, with emphasis on circuit design, system architecture, and control strategies. Perform detailed modeling and simulation of power electronics circuits and systems to validate design integrity
-
publication record. Outstanding data analytics, mathematical, and computer modelling skills. Excellent interpersonal communication and oral presentation skills in English Self-driven and strong team spirit Open
-
project team members. Key Responsibilities: To conduct research in support of the CLIC objectives including: Perform computational modelling and analysis of the neuroimaging and behavioural data from
-
and to develop accurate cancer risk prediction models. This role involves developing computational pipelines, conducting statistical and bioinformatics analyses, and integrating multi-omics data