Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- ;
- University of Oslo
- Genentech
- Harvard University
- Korea Institute for Advanced Study
- Northeastern University
- Simons Foundation
- Simons Foundation/Flatiron Institute
- University of Texas at Austin
- AbbVie
- City of Hope
- Integreat -Norwegian Centre for Knowledge-driven Machine Learning
- KINGS COLLEGE LONDON
- King's College London
- Monash University
- National University of Singapore
- Nature Careers
- University of Adelaide
- University of Birmingham
- University of British Columbia
- University of Maryland, Baltimore
- University of Michigan
- University of Michigan - Ann Arbor
- University of North Carolina at Chapel Hill
- University of Waterloo
- 15 more »
- « less
-
Field
-
of classification algorithms Correlate/Integrate In Vivo and Ex Vivo metabolite analysis to understand the key metabolic pathways in different tumour types and subtypes Identify and harmonise MRI and MRS acquisition
-
treatment and reducing brain injuries Modern MRI scans tell us about a tumour’s biology. Through advanced computing (radiomics), it is possible to extract much more information from MRI images than is visible
-
web technologies Experience in teaching bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms
-
the COVID-19 vaccines) is a highly dynamic and fast moving field. We have developed a generative AI algorithm to optimize the mRNA, and we are looking for an experienced wetlab researcher to test the
-
, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
-
research and teaching. The Division has a diverse portfolio addressing all areas of biology from protein interactions to cell function, organism development, genetics, population studies and the environment
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
bioinformatics Previous experience with AI and/or machine learning approaches Interest in reproductive health and/or development of clinical tools and algorithms Downloading a copy of our Job Description Full
-
apply cutting-edge machine learning algorithms, with focus on foundation models and LLMs/agents, to analyze complex biological data. This data includes gsingle cell genomics profiles, spatial data, and
-
research and teaching. The Division has a diverse portfolio addressing all areas of biology from protein interactions to cell function, organism development, genetics, population studies and the environment