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Field
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this project, you will develop innovative image analysis methods to improve image quality and enable advanced quantitative analyses of ^89Zr-immunoPET data, including radiomics and artificial intelligence
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to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience with quantitative research methods (e.g., (panel) survey
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, or (Social) Psychology; experience with aspects related to the topic of the proposal (e.g., digital communication, artificial intelligence, developmental research, research on mis/disinformation); experience
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DelftBlue supercomputer. Your supervisors will be Prof. Dariu Gavrila and Dr. Julian Kooij. Job requirements We are looking for a candidate with: An MSc degree in Computer Science, Artificial Intelligence
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learning (FL), where multiple UAVs collaboratively train artificial intelligence models without sharing raw mission data. This supports privacy and efficiency, but it also creates a serious security risk: a
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 3 hours ago
biology, chemistry, and medicine. Machine Learning and Life Science Approaches to transform Human Health At AITHYRA, we believe the future of research lies in the seamless integration of Artificial
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are being made with incomplete information. Synthetic data offers a way out: realistic-but-artificial datasets that preserve the statistical, temporal and physical structure of real energy data without
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degree in Computer Science, Artificial Intelligence, Robotics, Electrical Engineering, or a closely related field. A strong academic record and solid background in machine learning and deep learning
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across Europe with 16 doctoral students at the interface of artificial intelligence and mass spectrometry proteomics. In collaboration with researchers at the University of Oxford, we seek a candidate to