Sort by
Refine Your Search
-
Listed
-
Field
-
As Computational Senior Research Fellow, you will: · Develop cutting-edge methods to predict which somatic mutations drive clonal expansion · Integrate large-scale multimodal omic datasets from healthy
-
& International Health is seeking to appoint a Research Fellow in Health Data Science (with a focus on machine learning) to NeoShield , a multi-country implementation research programme focused on neonatal sepsis
-
and feature extraction. They will also assess and mitigate biases in social media data and design evidence-based heuristics to guide researchers in applying these methods effectively. The post-holder
-
(PHES) is seeking to appoint a Research Fellow to contribute to the UKRI-funded Local Health and Global Profits programme, a national research consortium led by the University of Bath and involving
-
doctoral degree, in a relevant topic and will ideally have skills in quantitative methods and some knowledge of public health research linked to diet/food. For one of the two posts we particularly encourage
-
designing study protocols and submitting ethics applications; qualitative research using NVivo or similar analysis software; mixed-methods research; statistical analysis; training and supervising teams
-
for the Treatment of Acute Limb Ischaemia The postholder must have a postgraduate degree, ideally a doctoral degree, in a relevant topic and should have formal training in economic evaluation and related methods
-
. Supported by a BHF Programme Award, this role offers an excellent opportunity for a motivated clinician to pursue academic cardiology in a leading research environment. The Fellow will contribute
-
software packages. They also must have demonstrated knowledge of longitudinal data analysis methods, and an understanding of sample size calculations. Further particulars are included in the job description
-
endemic countries. We are seeking to appoint a Research Fellow to join a research programme that applies advanced bioinformatic, statistical, and population genomic approaches to large-scale sequencing data