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cornerstone of medical treatment. A large portion of all hospital patients suffer from multiple diseases and are already undergoing a complex drug therapy at the time of admission. For the most successful
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visual and auditory cortical areas, providing a phenomenological test of the spatial accuracy of TUS stimulation. The successful applicant will be part of a large, vibrant, highly collaborative community
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and implement water management devices at research sites. Research Support: Assist with data collection, analysis, modeling, and report writing for funded projects. Extension/Outreach: Develop teaching
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Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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develop methods to steer developments of large AI systems in such a way that they are environmentally sustainable. To this end, different designs of AI systems should be assessed during the design phase
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Assistants to contribute to our research on the ATLAS experiment at Large Hadron Collier (LHC) and direct dark matter searches with the LZ and XLZD experiments. We are looking to fill three positions for a
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education. Faculty are committed to creating a student-centered learning community that embraces multiple viewpoints. It is a department in which learning, research, and professional activity inform each
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modeling, multilevel (random effects) modeling, and analysis of data from complex samples Experience with management and analysis of big data Experience with machine learning and related approaches (e.g
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relevant to multiple applications, including small aircraft, drones, turbines, and other systems reliant on efficient fluid flow around foils. The project offers a unique opportunity to gain experience in