Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
-
Field
-
evaluate methods via experiments, benchmarking, simulation and/or real‑world data. The successful candidate will have: A PhD in Statistics, Data Science, Computer Science, Mathematics, or a related field
-
genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a
-
for the Australian Grains Industry (AAGI) program. The ideal candidate will be an expert in hyperspectral remote sensing with significant experience in data science for geospatial data analytics. This research project
-
. The Postdoctoral Fellow will have a unique opportunity to be part of this world-leading and agenda-setting research program. The Discovery Postdoctoral Fellow will report to Professor Lucas Lixinski (Law & Justice
-
analysis. Support the management of a large, multi-stakeholder research program. Contribute to advocacy through data and policy-relevant insights. The role offers flexible working arrangements, with
-
. The successful candidate will develop computational tools for analysing gene expression (single cell, spatial) and metabolomic data in the context of cancer including melanoma and pancreatic cancer. You will lead
-
into advanced antenna designs for phased array systems, Work closely with colleagues on system level design, Support the development of passive device models and electromagnetic simulations, Design solutions
-
computational modelling, physics, mathematics and/or scientific programming backgrounds, ideally with experience in Earth System modelling, Earth science or related disciplines. Ideal technical requirements