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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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Combining two different kinds of signals could help engineers build prosthetic limbs that better reproduce natural movements, according to a new study. A combination of electromyography and force myography is more accurate at predicting hand movements than either method by itself.

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An international team has explored how in future aerial robots could process construction materials precisely in the air — an approach with great potential for difficult-to-access locations or work at great heights. The flying robots are not intended to replace existing systems on the ground, but rather to complement them in a targeted manner for repairs or in disaster areas, for instance.

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