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Adesola S. Ademiloye's picture

Call for Abstract Submission to CMBE24, Arlington, USA - Submit by 15th March 2024

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.

ludovicnoels's picture

PhD position in data-driven stochastic multi-scale simulations of composite materials

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

Professorships at University of Luxembourg - Sensing

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). 

 

USACM Virtual Seminar by John Evans, UC Boulder

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:

mbessa's picture

Journal Club for February 2020: Machine Learning in Mechanics: simple resources, examples & opportunities

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.

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