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Research Fellow (Human-in-the-Loop AI perception system) (LX)

Job no: 498946
Department: Infocomm Technology
Contract type: Contract
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As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skill sets that are relevant to industry demands while working on research projects in SIT. The primary responsibility of this role is to deliver on an innovation research project where you will be part of the research team to conduct applied research in the topic of Human-in-the-Loop AI perception system that leverages user concerns and identified driving scenarios to generate new and relevant driving scenes for enhancing the perception system performance for autonomous vehicles (AV).

Key Responsibilities:

Participate in and manage the research project with Principal Investigator (PI), Co-PI and the research team members to ensure all project deliverables

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The Maersk Mc-Kinney Moller Institute, University of Southern Denmark (SDU) in Odense invites applications for positions as Assistant, Associate, or Full professor in Health Informatics and Technology. The preferred start date is from January 2026 and the final start date will be agreed with the successful candidate(s).

SDU Health Informatics and Technology (HIT) strives to develop novel and ready to deploy technical solutions in a transdisciplinary manner. SDU HIT has a large portfolio of transdisciplinary projects involving numerous partners from healthcare, academia, industry and network organizations.

The Maersk Mc-Kinney Moller Institute is an internationally recognized research department with strong research units in robotics, drones, artificial intelligence, software engineering, energy informatics, and health informatics and technology.

Denmark is known to be a great place to live and work. There is a high quality of life in and around Odense, and at SDU we value a well-functioning work-life

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Neurodegenerative diseases like Alzheimer’s are a growing concern in the U.S., with over 7 million Americans living with Alzheimer’s disease today. By 2060, that number is expected to grow, affecting nearly 13 million people. These diseases are not only hard on individuals and families, but are costly, with more than $230 billion spent in the U.S. each year in caregiving alone. As the population ages, the need for new ways to detect and address the silent emergence of these diseases has never been more urgent. 

New artificial intelligence predictive models used in brain research may provide a way to better predict how a person’s brain ages over time, helping doctors recognize warning signs long before clinical symptoms surface. 

Supported by the U.S. National Science Foundation, a team of researchers led by Paul Bogdan, an associate professor in the University of Southern California Department of Electrical and Computer Engineering, has developed a cutting-edge AI system capable of generating a future MRI of a person’s brain from just a single scan. This technology opens the door to identifying subtle changes that may signal the earliest stages of neurodegenerative diseases — potentially years before traditional diagnostic methods could detect them.

To build the tool, the team combined two advanced AI techniques: a 3D diffusion model and a ControlNet, which allow the system to “control” or guide image generation

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In-brief analysis

June 4, 2025

U.S. production of renewable diesel and biodiesel fell sharply in the first quarter of 2025 (1Q25) because of uncertainty related to federal biofuel tax credits and negative profit margins. We forecast production of both fuels to increase as the year progresses but biodiesel production to remain less than in 2024.

Renewable diesel and biodiesel are biomass-based diesel fuels that can replace petroleum-based distillate and be used to comply with renewable volume obligations in the Renewable Fuel Standard (RFS) administered by the U.S. Environmental Protection Agency (EPA). Renewable diesel can be used in diesel engines in any concentration because it is chemically equivalent to petroleum-based distillate fuel, and biodiesel is typically blended with petroleum distillate at concentrations of 20% or less for vehicle consumption because of some chemical differences.

In January 2025,

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