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Responsibilities: Undertake research on algorithms and data systems for next-generation data preparation and data cleaning for data analytics. Produce research papers, reports, and presentations as required by
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data. The work will incorporate comparative evolutionary biology using extant plants populations and Herbaria collections. The opening is for a postdoctoral fellow with expertise in one or more of the
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Machine learning/AI based classifiers Proficiency in coding using R and Python and other similar languages High level analytical capability Ability to communicate complex information clearly Informal
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opportunity for an enthusiastic and motivated postdoctoral fellow in data-sciences and biomedical informatics to work on exciting human and veterinary health studies, such as the identification of novel
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and managing scalable ETL (Extract, Transform, Load) pipelines to integrate multi-source, multimodal datasets Applying big-data analytic, including spatio-temporal modeling and deep learning techniques
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health sciences, social sciences, or economics Experience in qualitative research and/or health economic methods High-level analytical capability Ability to communicate complex information clearly Ability
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. To attend, contribute, and where necessary lead relevant meetings. To undertake any other duties relevant to the programme of research. Job Requirements: PhD degree in computer engineering, Computer
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the process of measuring and analyzing high-throughput, multi-dimensional omics data integrating single cell transcriptomics and spatial proteomics of immune cells from CSF and blood as well as human brain
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Australia. For further information on the School go to https://www.unsw.edu.au/science/our-schools/chemistry The Postdoctoral Fellow (Level A) contributes towards research as part of an ARC-funded Discovery
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engineering Urban studies and planning Behavioural sciences Public health High level analytical capability, particularly with qualitative data Ability to communicate complex information clearly Fluency in