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artificial intelligence

Research Fellow (Postdoctoral) Positions - Ocular Biomechanics and AI - Singapore (SERI and Duke-NUS Medical School)

Submitted by mgirard on

Research Fellow – Using Biomechanics and AI for Improved Glaucoma Diagnosis, Prognosis, and Management – Singapore Eye Research Institute (SERI) and Duke-NUS Medical School

 

Job description: We are looking for two bright, dynamic, and highly motivated individuals to perform research in translational biomechanics with applications to glaucoma and other ophthalmic disorders. For more information about our Laboratory, please visit: https://www.ophthalmic.engineering

Webinar: AI Medical Image Segmentation with Simpleware Software: A Solutions Overview

Submitted by Philippe on

Synopsys are running a webinar this month on using AI medical image segmentation in Simpleware software to scale-up patient-specific workflows, save time, and free up staff resources. Highly recommended if you haven't yet had a chance to review the tools in Simpleware software.

Register here: https://register.gotowebinar.com/register/4951806069167092496?source=iM…

​​Journal Club for May 2022: Machine Learning in Mechanics: curating datasets and defining challenge problems

Submitted by elejeune on

 

Over the past several years, machine learning (ML) applied to problems in mechanics has massively grown in popularity. Here is a figure from a slide that I made in early 2020 referencing a few examples from the literature — already this slide feels out of date! All of these authors (and many many others) have published new papers on this topic. 

As more researchers apply ML methods to problems in mechanics, I believe two methodological questions have become increasingly important: 

Webinar: Simpleware T-2022.03 Release: Highlights of New and Improved Features

Submitted by Philippe on

Synopsys are running a webinar this month on highlights of the Simpleware T-2022.03 release, including new anatomies for its AI segmentation tools, 2D contour measurements, and improved 3D printing workflows. Learn more and register at:

https://attendee.gotowebinar.com/register/4418379100942143757?source=iM…

Webinar: Simpleware R-2021.03 Release: Highlights of New and Improved AI-Powered Tools

Submitted by Philippe on

Check out this webinar on the AI-enabled segmentation and landmarking tools in the latest release of Simpleware software - ideal if working with orthopedic and cardiology medical image data and you want to speed up tedious segmentation.

Registration is here: https://register.gotowebinar.com/register/2163352213172894476?source=IM…

 

Postdoc Positions at Jiangsu University, Zhenjiang, China

Submitted by zhujg on

Postdoc positions are available in the group of Prof. JG Zhu at Jiangsu University, Zhenjiang, China. Those possessing PhDs in the area of solid experimental mechanics are sought. We are particularly interested in candidates with experience in artificial intelligence on experimental measurements and nondestructive techniques.

Funded PhD Position in Dynamic Systems and Intelligent Machines Lab- San Diego State University

Submitted by Nili on

We have an open PhD position in the areas of perception, planning, and control of autonomous systems in DSIM lab. Highly motivated applicants with prior experience in robotics, control and/or machine learning and strong programming skills and mathematical background are encouraged to apply. Applicants should have B.Sc. and M.Sc. degrees in Computer Science, Mechanical Engineering, or a closely related field.

Discovery and design of soft polymeric bio-inspired materials with multiscale simulations and artificial intelligence

Submitted by Jingjie Yeo on

https://doi.org/10.1039/D0TB00896F It is my privilege and honor to be highlighted as the Journal of Material Chemistry B's Emerging Investigators for 2020. Together with our group's young budding scientists, Chenxi Zhai, Tianjiao Li, and Haoyuan Shi, we review the discovery and design of next-generation bio-inspired materials by harnessing the virtual space in materials design: materials omics (materiomics), materials informatics, computational modelling and simulations, artificial intelligence (AI), and big data.