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DOE Science, Technology and Policy Program– Office of International Affairs-Energy Markets Data Fellow

https://www.zintellect.com/Opportunity/Details/DOE-STP-IA-2025-0001

Application Deadline: May 9, 2025 @ 11:59 PM Eastern Time Zone

About this Opportunity

The U.S. Department of Energy (DOE) Office of International Affairs (IA), in collaboration with the Oak Ridge Institute for Science and Education (ORISE), is seeking a highly motivated candidate for an Energy Markets Data Fellowship. This opportunity is ideal for individuals interested in contributing to U.S. international energy policy through rigorous data analysis and market research.

The selected fellow will collaborate with IA staff to support the Department’s international energy engagement by collecting, organizing, and synthesizing data on global energy markets. The fellow’s participation on this project will inform high-level policy discussions, strategic briefings, and collaboration with international partners.

What will I be doing?

Learning Objectives

Through this fellowship, the participant will:

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Job ID: 256207

Postdoctoral Research Scientist
Columbia University Irving Medical Center Position Description

The Department of Radiation Oncology of Columbia University Irving Medical Center is inviting applications for a Postdoctoral Research Scientist to work on developing scalable machine learning/deep learning approaches with applications in multi-modality medical imaging and adaptive radiotherapy. The Postdoctoral Research Scientist will join a dynamic team of data scientists and clinicians and participate in unique opportunities to apply machine learning for both scientific discovery and direct impact on patient care in a clinical setting.

Responsibilities:

Perform research and development of novel scalable machine learning algorithms for image-guided radiation therapy and outcome prediction and decision using multi-modal health data. Work under the supervision of the principal investigator and collaborate with other researchers, medical physicists, clinicians, postdoc

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The Electric Drives Group is now looking for postdoctoral researchers in the following fields:Electric machine drivesPower converters (emphasis on grid-connected and hydrogen systems)Physics-informed AI applied to machine drives and power converters
Your role
As a postdoctoral researcher, you will advance next-generation technologies in electric machine drives and power converters. Your research will be tailored to your expertise, spanning from hardware design to system-level optimization and control methods. For the AI position, you will develop machine learning models that incorporate physical principles of machine drives and converters. You will also have opportunities to contribute to our open-source computational tools, teach master-level courses, and advise doctoral students. Our strong industry connections will provide you with opportunities to see your research implemented in real-world applications.Your background and expertise
For the electric machine drives and power converter positions, you should have a recent doctoral degree in electrical engineering, control

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Aalto University is where science and art meet technology and business. We shape a sustainable future by making research breakthroughs in and across our disciplines, sparking the game changers of tomorrow and creating novel solutions to major global challenges. Our community is made up of 13 000 students, 400 professors and close to 4 500 other faculty and staff working on our dynamic campus in Espoo, Greater Helsinki, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. 

The Department of Electronics and Nanoengineering conducts research and arranges related courses in the fields of microelectronics, micro and nanotechnology, radio engineering, electromagnetics, and space technology. The department research groups have active national and international collaboration with several institutes and companies. Research

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