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physics or (bio)medical engineering. A strong interest in radiotherapy, CT imaging, dosimetry, and translational research. Proven analytical skills and experience in experimental research. Experience in
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acquire the right part of a specific course in a cost-efficient way. The aim of the project is to design new analytical and simulation models and solution approaches to support strategic and real-time
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in high-impact journals. Responsibilities Lead projects on developing novel analytical methods for studying the development and degeneration of the visual system Acquire, process, integrate, and
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infrastructure. These efforts will directly enable innovative data analytical approaches, including federated and deep learning, with a focus on real-world data for rare cancers. This research will directly
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researchers from other departments and institutions on joint initiatives. 6-Continuous Learning & Training: Stays updated with the latest advancements in AI, computer science, and radiation oncology. Provides
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science, meteorology, or a related discipline Strong experimental skills; strong experience in analytical chemistry, mass spectrometry, and trace gas measurements using CIMS techniques Enthusiasm
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out research work, analytically and numerically, jointly with the co-investigator and the project research team in the area of inference, information build-up and learning methods in the general context
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data has increased massively in the last decade, providing opportunities to mine big data to learn more about the drivers of AMR in humans. Our work includes computational analysis of antibiotic
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researcher with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in a highly dynamic multidisciplinary and collaborative
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a curious and motivated post-doctoral researcher to join our research lab at the Rowland Institute at Harvard. Our research pursuits are primarily in the analytical/physical chemistry field and