Author: WeWorldMedia-admin

Associate Professor in Robotic Production Systems

Published: 8 May 2025
Categories: Eng Jobs Academic Keys

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SDU Center for Large Structure Production (LSP), part of the Maersk Mc-Kinney Moller Institute (MMMI) at University of Southern Denmark (SDU), invites applications for one or more fully funded Associated Professor positions in the area of model- and simulation-based planning and control of robotic production systems. The positions will be vacant from August 1, 2025, or as soon as possible thereafter for a. Main work location is Odense/Denmark at SDU and Odense Havn (Odense Port).

Work environment

The candidate(s) will be part of SDU’s newly established SDU Center for Large Structure Production (LSP). LSP’s central ambition is to provide a physical “go-to” lab for companies in the sectors maritime, construction and energy to carry out research, development and testing of novel solutions in the production of large structures, such as buildings, ships and offshore platforms. In this context, the candidate is expected to work closely with our

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Research & Compliance Program Engineer

Published: 7 May 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job Description Summary

Position: The Auburn University RFID Laboratory, affiliated with multiple colleges on campus, invites applications for the Research & Compliance Program Engineer. This position is a 12-month non-tenure track position.

About the RFID Lab: The Auburn University RFID Lab is a proven leader in RFID research and technology application.  The Lab collaborates with partners to develop specialized technologies designed to enhance RFID and serialized identification sensor capabilities and improve data capture systems in various technology fields, and researches and promotes the business case and value of adoption in food operations and supply chain. The RFID Lab includes a simulated factory, warehouse, distribution center, retail, aviation, and food formats – including mall apparel and high-end fashion boutiques.  The Lab is active in many research areas, including engineering, food safety, logistics, and using various wireless technologies to develop new solutions.  The RFID Lab engages undergraduate and graduate students and faculty members to test technology, develop intellectual property, obtain patents,

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Sr. Research Engineer, Retail Applications

Published: 7 May 2025
Categories: Eng Jobs Academic Keys

RSS Feed Source: Academic Keys

Job ID: 256751

Sr. Research Engineer, Retail Applications
Auburn University

Job Description Summary

Position: The Auburn University RFID Laboratory, affiliated with multiple colleges on campus, invites applications for the Sr. Research Engineer, Retail Applications. This position is a 12-month non-tenure track position.

About the RFID Lab: The Auburn University RFID Lab is a proven leader in RFID research and technology application.  The Lab collaborates with partners to develop specialized technologies designed to enhance RFID and serialized identification sensor capabilities and improve data capture systems in various technology fields, and researches and promotes the business case and value of adoption in food operations and supply chain. The RFID Lab includes a simulated factory, warehouse, distribution center, retail, aviation, and food formats – including mall apparel and high-end fashion boutiques.  The Lab is active in many research areas, including engineering, food safety, logistics, and using various wireless

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Using machine learning to speed up discovery for drug delivery and disease treatment

Published: 7 May 2025
Categories: National Science Foundation

RSS Feed Source: Academic Keys

A new computational tool developed with support from the U.S. National Science Foundation could greatly speed up determining the 3D structure of RNAs, a critical step in developing new RNA-based drugs, identifying drug-binding sites and using RNAs in other biotechnology and biomedicine applications.

The tool, NuFold, leverages state-of-the-art machine learning techniques to predict the structure of a wide variety of RNA molecules from their sequences. This new capability will allow researchers to visualize what a given RNA structure could look like based on its sequence and identify its potential use in drug delivery, disease treatment and other applications.  The research leading to NuFold was published in Nature Communications.

RNAs are critical biological molecules — encoding information, like DNA, and performing cellular functions, like proteins — but relatively few RNA structures have been determined through experimentation thus far, which severely limits understanding of their functions. For example, RNAs in the NSF-funded Research Collaboratory for Structural Bioinformatics Protein Data Bank (RCSB PDB) represent only about 3% of total entries. Experimentally determining RNA structures is often time-consuming and costly. By providing a path to reliably predicting RNA structure from sequence, NuFold could greatly expedite the discovery of RNA function and enable quicker development of RNA-based therapeutics and technologies.

Credit: Daisuke Kihara, Purdue University. Figure taken from the Nufold

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