Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- University of Sydney
- The University of Queensland
- University of New South Wales
- Monash University
- CSIRO
- RMIT University
- Curtin University
- Queensland University of Technology
- RMIT UNIVERSITY
- Macquarie University
- AUSTRALIAN NATIONAL UNIVERSITY (ANU)
- ADELAIDE UNIVERSITY
- Deakin University
- Victoria University
- James Cook University
- The University of Western Australia
- UNIVERSITY OF SYDNEY
- UNIVERSITY OF WESTERN AUSTRALIA
- University of Tasmania
- Amgen Scholars Program
- CNRS
- La Trobe University
- Nature Careers
- University of Adelaide
- University of Southern Queensland
- 15 more »
- « less
-
Field
-
of mRNA or expression libraries lead in vivo studies, including delivery, tissue collection, phenotyping, and downstream analysis integrate and analyse multimodal datasets using Python or R to inform
-
. • be located at the agreed project location(s) and, if required, comply with the university’s external enrolment procedures. Selection criteria Skillset: Proficient in Python, machine learning, and
-
skills using R, Stata, SPSS, MPlus or Python. Experience managing nationally representative survey datasets and conducting complex statistical analyses (including multilevel modelling and SEM). Here's how
-
relevant university degree and or hands-on experience programming liquid handling platforms (e.g. Hamilton Star V, VENUS or equivalent), including experience with Python-based scripting or similar languages
-
. Ability to undertake complex analyses and data modelling using programming languages such as Python, R and/or hydrological modelling packages, with adherence to FAIR data principles (Findable, Accessible
-
running and using common cybersecurity tools Experience developing tools and scripts using common software scripting languages (eg. Python, Javascript, Powershell) Basic familiarity with navigating cloud
-
knowledge, skills and minimum 5 year experience with a demonstrated commitment to ongoing professional development. Proficiency in programming languages, including Python, JavaScript, and familiarity with R
-
analytical chemistry, particularly GC-MS analysis of trace volatiles Good communication and problem-solving skills Knowledge in data analytics (python or R) is desirable Knowledge in atmospheric chemistry is
-
/ML/CV venues Proficiency in Python and deep learning frameworks Experience in machine learning, computer vision, or NLP Strong communication and collaboration skills Our commitment to inclusion and
-
-world datasets from different databases & platforms (AWS, SQL, Azure) Using energy systems data analysis and modelling and the development of open-source tools e.g. in Python, R, Matlab or Excel Creating