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Are you excited about designing hardware that mimics biological intelligence with the aim to explore and understand how the brain works? Are you interested in developing hardware-based artificial intelligence (AI) with the goal of solving important societal challenges? Are you a passionate, self-motivated and creative researcher who is driven by solving important questions in neuroscience? If so, then the Semiconductors and Microelectronic systems (SAM) group at TU Berlin has an exciting PhD opening for you at the interface between nanoelectronic devices, computational materials science, neuroscience and AI.

We are seeking a candidate for a PhD position described as follows:

– Here, you will explore novel materials (including, magnetic, ferroelectric, 2D and correlated materials) and leverage their complex physics to design and simulate advanced nanoelectronic devices.

– These devices will replicate the finer workings of brain cells (neurons) and their connections (synapses) in the

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Postdoc/PhD/MASc/MEng Graduate Research Opportunities at 

Artificial Intelligence for Aerospace Systems (AIAS) Laboratory 

Department of Aerospace Engineering

Toronto Metropolitan University, Toronto, Canada

1)  Artificial Intelligence and Machine Learning-Powered Smart Aerospace Systems

The thesis/project will focus on designing novel artificial intelligence and machine learning-based algorithms to develop smart aerospace systems. Several investigations have been conducted at the AIAS laboratory in cooperation with aerospace companies and government agencies (including NASA, Canadian Space Agency, and MHICA) on the fault diagnosis, prognosis and recovery of aerospace systems. The results on aircraft/spacecraft control systems and aircraft engines are very promising for practical applications. The proposed research aims to further enhance the performance of these algorithms using artificial intelligence, machine learning and digital twins based methodologies for real-time fault diagnosis, prognosis and recovery applications.

2)  Cutting-Edge Internet-of-Things (IoT) Devices for Smart Aerospace Systems 

In recent years, significant advancements have been made in

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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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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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