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to develop and translate advanced computational tools that directly impact patient care in a clinical environment. Responsibilities: Develop GPU-accelerated dose calculation and optimization algorithms
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processing algorithms for joint communication and sensing. Analyze experimental datasets, extract statistical models, and compare findings across environments, hardware, and frequency bands. Collaborate with
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that integrate prediction and control algorithms, optimizing data transformations, offloading and distributed computing, and exploiting mechanisms such as network slicing and multi-access edge computing
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. For example, a proposal using neutral atoms to simulate a biological process, combining atomic physics, quantum algorithms, and biology, exemplifies the program’s interdisciplinary vision. Fellowship Funding
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publications, please visit: https://sites.google.com/view/ormeir/ Swagato Sanyal earned his PhD from the Tata Institute of Fundamental Research, India. Currently he is a Lecturer at the School
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Information Science: Quantum Computing, Quantum Algorithms, Quantum Communication, Quantum Metrology, Quantum Resource Theory Applicants are expected to have demonstrated exceptional research potential, including major
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socio-economic constraints. https://www.eu4greenfielddata.eu GreenFieldData will mobilize 14 Doctoral Candidates (DCs) enrolled in Double Degree Doctorate programmes with 12 academic main beneficiary
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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work with Benjamin Gyori at Khoury College and Ayan Paul at EAI and is expected to develop AI algorithms for LLM based RAG systems, work with graduate students working on the same project, and
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using modern architectures such as convolutional neural networks, transformers, and diffusion models. Proven experience building AI solutions using classical ML algorithms such as decision trees, gradient