12 postdoc-data-mining Postdoctoral positions at University of Liverpool in United Kingdom
Sort by
Refine Your Search
-
. ¿ Study design, protocol development and laboratory diet planning. ¿ Leading on participant recruitment, data collection and analysis. ¿ Supervising a graduate level research assistant
-
We are seeking an ambitious scientist to join a vibrant team examining the evolution of locomotion in birds. The overall aim of the project is to deliver an exhaustive anatomical and functional data
-
. You will perform experimental data acquisition with radioactive sources in the Liverpool Semiconductor Detector Centre to characterise various design implementations and generations of these prototype
-
interventions around tackling food insecurity on long-term trends of health outcomes for Liverpool and England. You will be based alongside Professor Mark Green in the Geographic Data Science Lab within
-
pathways, specifically chromatin and small non-coding RNAs, in regulating gene expression in the parasitic nematode Strongyloides. In this role you will use Strongyloides epigenetic profiling data
-
-seq data. For the duration of the project, you will be supported by a highly experienced PDRA specialising in mass spectrometry and data analysis, who will assist in overseeing daily operations
-
, including microbiome data, transcriptome and small RNA sequencing datasets and proteomic/metabolomic datasets. The successful applicant will be joining the Veterinary Parasitology group in IIVES as a member
-
computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
-
assessments. - Recruiting participants into research studies and working to ensure their ongoing participation over time. - Conducting mixed methods data collection as part of a community-based trial, via
-
information on lahar flow regime and flow properties can be extracted from their geophysical signatures (seismic, acoustic, deformation) opening the possibility of developing early warning systems that predict