Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
fields; • experience with large datasets, spatial and environmental analysis, and field work will be viewed favourably; • proficiency in R or similar scripting languages for data cleaning, analysis and
-
events with the GOTO telescope network. Projects focussing on thermonuclear bursts will involve analysis of new and archival data from satellite-based X-ray telescopes, and running numerical models
-
understand where stars form, how stellar feedback changes their surroundings, and how matter moves through galaxies over time shaping them. Most of my research uses large astronomical data sets across
-
relevant discipline. Relevant disciplines include health economics, labour economics, economics, econometrics, and other quantitative fields such as data science, mathematical statistics, actuarial science
-
! Possible projects involve massive stellar binaries, gravitational-wave data analysis, astrostatistics, dynamics in galactic centres and globular clusters, probes of general relativity in the strong-field
-
. Required PhD student academic qualifications: Honours/Msc degree in microbiology/bioinformatics, with specific emphasis on functional microbial multi-omic data analysis. Knowledge of a programming language
-
explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
-
level 2 Workforce training Meet our facilitators Meet our consultants Meet our leadership and management teams Learning design and innovation Hybrid working solutions Training needs analysis
-
Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
-
research experience. Additionally, the applicant should preferably have experience with: working with children; posture/physical activity research; sophisticated numeric data analysis. Application process