Author: WeWorldMedia-admin

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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Well completions per location more than double in Lower 48 states as technology advances

Published: 7 May 2025
Categories: US Energy Information Administration

RSS Feed Source: Academic Keys

In-brief analysis

May 7, 2025

Data source: FracFocus
Note: To calculate the number of wells completed per location, we grouped wells within a 50-foot radius into single locations. We then identified wells completed by their completion start and end dates, counting concurrent completions when their completion periods overlapped.

We estimate that the average number of wells completed simultaneously at the same location in the Lower 48 states has more than doubled, increasing from 1.5 wells in December 2014 to more than 3.0 wells in June 2024. By completing multiple wells at once rather than sequentially, operators can accelerate their production timeline and reduce their cost per well. The increasing number of simultaneous completions reflects significant technological advances in hydraulic fracturing operations, particularly in equipment capabilities and operational strategies.

Using data from FracFocus to estimate simultaneous

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