Sort by
Refine Your Search
-
outputs, publications, and presentations. In this role, you will design research frameworks, develop qualitative survey methodologies, and engage with media and social platforms to promote the program. You
-
, proximal transducer assays, second messenger assays) to understand GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary
-
computational tools for quantifying electromagnetic field distributions down to the fundamental atomic scale. The project will build on recent developments in inverse scattering methods, including ptychography
-
., Native PAGE, cryo-EM) to GPCR biology Supporting administrative, operational, and financial aspects of the research program Collaborating within multidisciplinary research teams Working under broad
-
people who discover them The Opportunity The Research Fellow will be a motivated and talented computational scientist and a key member of Monash University ice sheet modelling research team and SAEF’s
-
an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
-
programming (R or Stata preferred), and scientific computing Excellent problem-solving, planning and written communication skills Experience working with health-related data and modelling methods A
-
and research protocols in compliance-focused environments. Advanced computer skills with experience using Microsoft Word, Excel and PowerPoint; specific experience in working with a range of analytical
-
Ability to work independently and collaboratively within an interdisciplinary team Excellent organisational, communication, and interpersonal skills Advanced computer skills, including Microsoft Office and
-
and oral communication skills, including drafting of academic papers and grants High level computer skills with software skills such as Microsoft Office, SAS, SPSS If this sounds like you, we highly