5 content providers found
Keywords: Computer Science or R or courses or imaging or supercomputer
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ACSPRI
The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a...
1 upcoming event (59 past event)ACSPRI https://www.acspri.org.au/ https://dresa.org.au/content_providers/acspri The Australian Consortium for Social and Political Research Incorporated (ACSPRI) is a not-for-profit organisation, broadly aimed at the promotion and enhancement of social science research and methods in Australia. Our consortium of institutional members, include universities, public sector research institutions and not-for-profits. We work to provide benefits and services to our members including: education and professional development in Social Science Research Methods and Research Technology courses. /system/content_providers/images/000/000/021/original/ACSPRI_Logo_Horizonal.jpg?1661921514 -
NCI
NCI is Australia’s leading high-performance data, storage and computing organisation, providing...
0 upcoming event (41 past event)NCI https://nci.org.au https://dresa.org.au/content_providers/nci-australia-national-computational-infrastructure NCI is Australia’s leading high-performance data, storage and computing organisation, providing expert services to benefit all domains of science, government and industry. NCI brings the Australian Government and the Australian research sector together through a broad collaboration involving the largest national science agencies, universities, industry and the Australian Research Council. NCI empowers government agencies, universities, and industry across multiple domains of research. Our integrated hardware, services and expertise drive high-impact research and groundbreaking outcomes for Australia. /system/content_providers/images/000/000/011/original/NCI_Australia_logo.jpg?1633670199 -
La Trobe University Statistics Consultancy Platform
The La Trobe University Statistics Consultancy Platform enables and accelerates research programs...
2 upcoming event (24 past event)La Trobe University Statistics Consultancy Platform https://www.latrobe.edu.au/statistics https://dresa.org.au/content_providers/la-trobe-university-statistics-consultancy-platform The La Trobe University Statistics Consultancy Platform enables and accelerates research programs by providing statistical advice about research methods, experimental design and data analysis for projects. The services available to industry collaborators, researchers and Graduate Research students include: * statistical analysis of data. * statistical support for grant applications. * guidance on designing a study, survey or questionnaire. * advice on data collection methods. * training in a particular area of statistics. * advice on how to model statistical data. * access to specialist statistical software. * help with communicating statistical findings. For further information about the Statistics Consultancy Platform, please contact: Statistics.Consultancy@latrobe.edu.au /system/content_providers/images/000/000/014/original/Stats_mug.jpg?1637808130 -
The Australian Characterisation Commons at Scale (ACCS) Project
ImagingTools: helping researchers find and access digital characterisation resources, including...
0 upcoming event (15 past event)The Australian Characterisation Commons at Scale (ACCS) Project https://www.imagingtools.au https://dresa.org.au/content_providers/the-australian-characterisation-commons-at-scale-accs-project ImagingTools: helping researchers find and access digital characterisation resources, including online environments, computing facilities, data, training and events. /system/content_providers/images/000/000/016/original/Minimal_Modern_Elegant_Background_Technology_Youtube_Thumbnail_%285%29.png?1671146621 -
Sonika Tyagi Lab
Our expertise is in implementing Bioinformatics methods and machine learning models to solve...
0 upcoming event (2 past event)Sonika Tyagi Lab https://bioinformaticslab.erc.monash.edu/ https://dresa.org.au/content_providers/sonika-tyagi-lab Our expertise is in implementing Bioinformatics methods and machine learning models to solve biological research and clinical outcome questions. The two research focus areas for the group are: (1) Multimodal data integration for personalised medicine and (2) Integrative Genomics. /system/content_providers/images/000/000/027/original/DF0_7341.JPG?1693372847