Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
develop skills in artistic research methodologies, interdisciplinary research processes, and qualitative analysis, benefiting from expert supervision from research leaders in music, creative collaboration
-
, characterization and evaluation of novel PfM1 and M17 aminopeptidase inhibitors. This would include compound design, data management and analysis and sample preparation as well as a range of drug discovery-related
-
compliance with privacy, confidentiality, and regulatory requirements, including student visa processes. It involves the accurate input, analysis, and management of data and records, providing sound and timely
-
processing, histological handling and organoid expansion Conduct biological assays and contribute to data collection and analysis Maintain laboratory facilities, equipment, stocks and ordering systems Support
-
", ICML 2021 - "High Performance Logistic Regression for Privacy-Preserving Genome Analysis", BMC Medical Genomics 2021 - "Privacy-Preserving Classification of Personal Text Messages with Secure Multi-Party
-
are expected to be both (a) evidence of validated (or otherwise) replicated studies, and (more importantly) (b) an analysis of factors underlying the multi-dimensional space of experimental methodologies
-
survey instruments incorporating stated choice experiments and the application of experimental design principles to ensure that the survey delivers high quality data. Analysis of this data will employ both
-
role exercises a high level of independence, initiative and judgement to resolve complex issues, undertake analysis and reporting, and take accountability for outcomes. As the successful candidate, you
-
degree, or High Second-Class Masters degree or equivalent in the health-related field. Strong quantitative research skills. An understanding of quantitative research methodology and data analysis. Evidence
-
various sources. Required knowledge Python programming Machine learning background Image analysis Video analysis