Dear Colleagues,
The University of Wyoming is accepting applications for the Distinguished Postdoctoral Fellows Program, a two-year interdisciplinary research position focusing on AI applications in several selected areas.
Dear colleagues,
We are reaching out to remind you that abstract submission for the 8th International Conference on Computational and Mathematical Biomedical Engineering (CMBE24) is now open. CMBE24 provides a unique platform for researchers, academics, and industry professionals to share their latest findings and innovations in Computational and Mathematical Biomedical Engineering.
Please find our new post-doc opening in the http://www.legato-team.eu
Write to Dr Anina GLUMAC <anina . glumac @ uni.lu> to apply.
Check the group out here:
Context
As part of a Europeanproject between different industrial partners and Universities, the main objective of the doctoral position will be to develop methodologies in thecontext of data-driven stochastic multi-scale simulations.
PhD opportunity
The doctoral project will be supervised by Prof. L. Noels of ULg (http://www.ltas-cm3.ulg.ac.be/), in close collaboration with the partners of the project. The position is that of a research engineer starting in Fall2021.
The University of Luxembourg is seeking world-leading researchers in the field of Sensing and Measurement, to complement the existing strengths in computational and data science.
"Electrical Engineering with a focus on Measurement Techniques & Sensors Technology" (http://emea3.mrted.ly/2n2nq).
The USACM is happy to announce a virtual seminar this week on Thursday, June 25th at 3pm Eastern. The title of the seminar is "Data-Driven Turbulence Modeling and Simulation: From RANS to LES". An abstract of the talk is available here:
https://unsacm.memberclicks.net/assets/docs/Evans_2020.06.25_2pm.pdf
We have a number of seats available to anyone interested. We just ask attendees to register at this page:
Machine learning (ML) in Mechanics is a fascinating and timely topic. This article follows from a kind invitation to provide some thoughts about the use of ML algorithms to solve mechanics problems by overviewing my past and current research efforts along with students and collaborators in this field. A brief introduction on ML is initially provided for the colleagues not familiar with the topic, followed by a section about the usefulness of ML in Mechanics, and finally I will reflect on the challenges and opportunities in this field.
We present a novel image-based multiscale multigrid solver that can efficiently address the computational complexity associated with highly heterogeneous systems. This solver is developed based on an image-based, multiresolution model that enables reliable data flow between corresponding computational grids and provides large data compression. A set of inter-grid operators is constructed based on the microstructural data which remedies the issue of missing coarse grid information.
:Full-time
:USA-GA-Kennesaw (Global R&T)
:Global R&T
:Standard
:Research & Development
