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for clinical use. Generative and Predictive AI for Clinical Decision Support and Statistical Inference Develop biologically informed statistical methods and uncertainty estimation models to train deep learning
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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operating in practice. The project will provide impactful and tangible solutions for practice, policy, and law reform to solve real-world challenges in the operation of VAD and be of wide-ranging national
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University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Health Integrated Practice, Duke Primary Care, Duke Home Care and Hospice, Duke Health and Wellness, and multiple affiliations
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for international employees, e.g. through our International Advisory Service Neben spannenden Aufgaben und einem kollegialen Miteinander bieten wir Ihnen noch viel mehr: https://go.fzj.de/Benefits Place of employment
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performance engineering use cases, extensive software development experience, and knowledge of machine learning frameworks (such as transformers and torch) are pluses. MSc candidates about to complete will also
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use this formalisation to encode our STV algorithm on encrypted ballots. This approach aims to ensure both the correctness and privacy of the tallying process, paving the way for verifiable and secure
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Published Monday 7 Jul 2025 Deadline Wednesday 3 Sep 2025 Work area PhD Organisational unit Erasmus School of Law (ESL) Salary € 2.901 - € 3.707 Employment 1 fte - 1 fte Introduction Erasmus School
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Do you want to contribute to the future sustainable use of forests? Apply to join WIFORCE Research School! Biodiversity and the role of forests in climate change are now key social issues
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progression, with the ultimate aim to develop innovative nucleic acid therapeutics against cancer. We make use of advanced molecular and cellular technologies to identify novel targets and get insight