Events and Training
The Characterisation Virtual Laboratory (CVL) Champions are a community of researchers, university lecturers, and bioimaging professionals taking part in a skills development program. The program is to enhance the national characterisation computing infrastructure and apply FAIR FAIR (Findable, Accessible, Interoperable, Reusable) data principles to research workflows, by upskilling scientists and bioimaging professionals for continuation of these goals.
The NVIDIA Deep Learning Institute (DLI) and Monash University invite you to attend a hands-on deep learning workshop on July 19th, from 09:30-16:30 at Monash University's Clayton Campus, exclusively for verifiable academic students, staff, and researchers.
Register now for our upcoming Introduction to Python workshop being held at Clayton campus on Friday 19th July from 10:00am til 3:00pm. This hands-on workshop aims to equip participants with the fundamentals of programming in Python and give them skills needed to apply data analysis approaches to their research questions. The workshop will be taught in a similar style to Data Carpentry workshops. Data Carpentry’s mission is to train researchers in the core data skills for efficient, shareable, and reproducible research practices.
Introduction to HPC Workshop is being held on Thursday 18th July at the Clayton campus. This workshop is aimed at beginners. However, it is mandatory that you have prior command line experience (this workshop is running the day prior on 17th July, register here) BYO device to the workshop.
NVIDIA Clara™ is a collection of Healthcare specific developer tools built on NVIDIA’s compute platform aimed at accelerating data acquisition, analysis, and data integration in medical domain. This short talk will cover AI Medical Imaging briefly and focuses on Nvidia Clara Train & Deploy SDK platform details.
Register now for our upcoming Introduction to Python workshop being held at Clayton campus on Tuesday 25th June from 10:00am til 5:00pm. This hands-on workshop aims to equip participants with the fundamentals of programming in Python and give them skills needed to apply data analysis approaches to their research questions.
MASSIVE and the CVL are underpinning an introduction Cryo EM workshop before CRYOZ19 on June 3-5, which covers data processing and hands-on Cryo-EM. This 3-day workshop is a good opportunity for beginners to learn from the experts and start using Cryo EM. This workshop is limited to 20 participants.
Register now for our upcoming workshop on Image analysis in Python with SciPy and scikit-image. This is being held on Monday 6th May 2019 at the Clayton campus.
The Pawsey Supercomputing Centre is running training for researchers in Melbourne; covering topics ranging from supercomputing, data and cloud services. It is a great opportunity to learn about the command line, freshen up your supercomputing skills, create a virtual machine and visualise your results in more engaging ways.
Register now for our upcoming Introduction to Tensor Flow and Machine Learning workshop is being held on Friday 22nd March at the Clayton campus. The workshop will be led by instructors from Monash eResearch centre and CSIRO
Data Science & AI in HASS, for short, will allow researchers to present new projects that might benefit from further collaboration; discuss the ethical, legal and social issues and challenges in this space; demonstrate tools and services Monash can provide; and encourage opportunities for our researchers to work across the university, or with our partners at Penn State.
Monash University is hosting Patrick Donnelly and Gary Burnett to give a seminar on how NVIDIA GPUs accelerate computation in two common areas of research: computer vision and natural language processing.
NVIDIA Deep Learning Institute, together with Monash University, is hosting a Fundamentals of Deep Learning for Computer Vision workshop on Thursday 12th July 2018 at Monash University Clayton Campus. In this hands-on workshop, participants will explore the fundamentals of deep learning by training neural networks and using results to improve performance and capabilities.
Intel and the Monash University High Performance Computing (HPC) team (MonARCH and MASSIVE) have organised a half-day Intel Parallel Studio XE (IPSXE) Information Session to be held on Wednesday 30th May 2018 at Monash University Clayton Campus.
The Machine Learning Symposium is a one-day applied Artificial Intelligence event to hear how researchers are applying machine learning techniques in their research. The day will include a broad range of participants, that includes both: machine learning experts and practitioners; and researchers and data scientists with an interest in applying ML techniques.
The National Computational Merit Allocation Committee (NCMAC) is seeking expressions of interest from researchers in the Bioinformatics, Genetics; and Geophysical Fluid Dynamics, Geophysics, or other computational earth sciences; to serve on the Committee for the NCMAS 2020 Call for Applications, which is scheduled for August-December this year. The deadline for submitting an expression of interest is midnight (AEST) Thursday 25 July 2019.
MASSIVE is a partner on a Medical Research Future Fund (MRFF) Frontiers project which has been awarded $960,000 for intensive research into new 4D diagnostic technology to allow accurate assessment of lung function in patients of all ages including the very sick.
Monash eResearch Centre (the operator of MASSIVE) is seeking to appoint a highly experienced Cloud and HPC Architect to lead the architecture and development of our research cloud and high-performance computing (HPC) capabilities, including MASSIVE.
MASSIVE and Monash University, in collaboration with national partners, is hosting an entry to the Supercomputing Student Cluster Competition. Student entries will open in March and close in early April.
Monash researchers, together with colleagues from the Pasteur Institute in Paris, have discovered a unique set of “super” receptors on immune cells capable of killing HIV across genetically diverse populations, making them a potential candidate for immunotherapy treatments. The work was published in the journal Science Immunology.
The Monash Ramaciotti Electron Microscopy Centre, in partnership with the Imaging CoE, has installed Australia’s first cryoFIB/SEM.
When the human genome was first sequenced, it took thirteen years and around US$1 billion to get the first draft ready. Today, sequencing a human genome takes less than a week and costs around $1000.
Astrophysicist Professor Andrew Melatos was one of 100s of international scientists who found the first evidence of the existence of gravitational waves. The three senior physicists behind the momentous discovery received the 2017 Nobel Prize in Physics.
Professor Tom Drummond of Monash University is working on computer-based models of the human brain’s visual cortex that will enable robots to make rapid decisions, based on a programmed understanding of their visual environment.
Download the MASSIVE annual report for 2017-2018.
Magnetic resonance imaging has revolutionised medicine and medical research, but one of the biggest issues radiographers still grapple with are the artefacts created when patients shift around during the scan.