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Field
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–2 years, total 3–4 years) on deep learning for medical imaging. This DFG-funded project focuses on developing deep learning methods for medical and scientific imaging. The Professorship for Machine
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students applying a wealth of state-of-the-art methods, providing them with up-to-date concepts of modern biology and medicine. The combination scientific expertise and modern scientific facilities
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aims to bring automated, cost-effective damage detection to port structures that have historically lacked any formal monitoring. The research is anchored at the Magerholm Research Quay (MRQ), a unique
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) and the University of California Irvine (UCI). The Research School "Foundations of AI" focuses on advancing AI methods, including energy-efficient and privacy-aware algorithms, fair and explainable
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the application. Formal regulations For more information about the PhD program at the Norwegian School of Sport Sciences, please see the rules and regulations for appointments to Ph.D. Research fellowships at NIH
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of epidemiological methods and statistics equivalent to that which may be gained in a degree programme like MSE, MSc Epidemiology, MPH, or MSAE. In individual cases, when such a formal degree is
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Selection criteria Qualification requirements Applicants must hold a two-year Master’s degree (or equivalent qualifications) and meet the formal requirements for admittance to the Faculty of Social Sciences
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, data science using EHRs, machine learning, data mining, and natural language processing are preferred. Job Description: Develop large language models and other methods and tools to effectively use
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ranging from the study of quantum phenomena to the conformational behaviour of biomolecules which can only be successfully tackled by employing a variety of different theoretical methods. In this respect
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methods of linguistic data collection and analysis and can therefore use these methods in a critical and reflective way. All doctoral students will receive individual supervision from two faculty members