205 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" positions at University of New South Wales
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
reporting against milestones. Experience working with a range of computer systems and applications, including NVivo, Xcel. Named author on peer reviewed publications (desirable). Demonstrated superior
-
skills and the proven ability to facilitate group discussions and deliver presentations. Advanced level of computer literacy with excellent skills in Microsoft Office applications. Excellent attention
-
, Biophysics, Condensed Matter Physics, Quantum Physics, and Theoretical Physics. The School is part of the ARC Centre of Excellence for Quantum Computer Performance and Integration. The Outreach and Engagement
-
: The Student Content Assistant (Level 2) provides support to the Student Information and Communications team to create written and visual content for students to be distributed on a range of channels including
-
-time (35 hours week), Continuing (permanent) position Hybrid/Flexible working arrangements Research Analysis, Data and Reporting (RADAR) is a dedicated unit established to support the goal
-
to provide information to internal and external clients on the station facilities and their appropriateness for activities, including for researchers, courses, conferences, workshops and other visitor
-
, content optimisation, amplification strategies and SEO and GEO. Ability to interrogate and analyse data and analytics to inform content decisions. Good understanding of target audiences, with an effective
-
-culture, single-cell RNA sequencing, data analysis and in vivo models—to interrogate B cell responses in human samples and pre-clinical systems. This research aims to generate mechanistic insight
-
, e.g. surveys, literature reviews, data gathering and/or recording of results using appropriate research methods. Participate in and/or present at conferences and/or workshops relevant to the project as
-
of applied and pure mathematics, and statistics. In Statistics, the School has research strengths in Bayesian and Monte Carlo Methods, Biostatistics and Ecology, Combinatorics, Data Science, Finance and Risk