Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
such as scRNA-seq, bulk RNA-seq, DNAm analysis, proteomics and clinical data integration to determine how IFN-I responses change during ageing. Application Procedure Applicants should submit a cover letter
-
foster resilience among international protection beneficiaries. The methodology combines desk-based analysis across legal and ethical disciplines, with semi-structured interviews with lawmakers and
-
mental health issues, using statistical techniques including network analysis. Naturally, we are seeking a student with a keen interest in the topic of loneliness and/or mental health. In addition
-
that these cells could be deployed to control intracellular S. aureus. The project will employ cutting edge technologies (transcriptomics, in vivo infection models, single cell metabolic analysis) to profile
-
degree (2.1 +/MSc) in mechanical / civil engineering, acoustics, materials, or related; aptitude for experimental measurements and cost-benefit analysis; creativity in sustainable design General
-
. Fieldwork on this project will take place in Ireland but there will also be the potential to use data from sites in the UK and Spain. Root and soil analysis facilities, as well as computing resources
-
critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
-
manufacturing using single cell omicsSupervisors: Colin Clarke and Niall BarronAbout the project: The study of cellular biology has been transformed by single cell analysis. Rapid technological advances in areas
-
this project, using extensive primary cell culture, molecular analysis, scRNAseq, non-invasive imaging analysis, along with mechanistic studies using 2D/3D culture models, we will dissect the distinct cellular
-
for structural variants and copy number variants (SVs/CNVs), will be used to optimize data analysis and variant discovery. The project will focus on identifying previously overlooked pathogenic variants, exploring