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clinical decision-making from non-imaging datasets, with research published in top journals such as Cell Reports Methods, Nature Digital Medicine, JAMA, IEEE Conferences, and Proceedings of National
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. The results are directly relevant to the FOEN and will support regulatory decisions regarding PFASs. Your tasks Develop and validate methods to sample and analyze various PFASs in ambient air Conduct sampling
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the interpretability of these models can be enhanced to support clinical decision-making. This project will leverage the complementary expertise of both supervisory teams in EEG signal processing, graph deep learning
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research and bioinformatics Ability to work independently, team spirit, and enthusiasm for research Personal commitment and determination for the project We offer A unique, cutting-edge research project in a
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underpin Thames Water’s strategy for chemical-free filtration, guiding investment decisions on autonomous skimming across its works. Results will be shared through peer-reviewed journals, industry white
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prediction model for stage racing that can be used to inform live race decisions based on emerging events. The successful candidate will also spend time embedded in a professional cycling environment and gain
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for Theoretical Physics at the University Tübingen, Germany, in the group of Prof. Daniel Braun. Depending on a DFG funding decision, an upgrade to 75% of an E13 TV-L position might be possible after the first year
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criteria will be used by academic schools to help them make a decision on your application.
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selection criteria will be used by academic schools to help them make a decision on your application.
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of Labor prevailing wage determination. Qualifications Candidates must have a Ph.D. (or foreign equivalent) in a relevant field. Instructions Application packages should include a curriculum vitae, a