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administration, and/or candidate qualifications. Commensurate with Qualifications Position Location (City) Greenville Position Type Faculty (Teaching) Job Category Faculty (Teaching) Organizational Unit Overview
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pestis. Successful candidates will have experience in research on Yersinia pestis. This position will have minimal participation in teaching medical, dental, and/or graduate students. The Department has 17
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and SFI groups and the MST Department, allowing extensive collaboration and knowledge exchange. As part of the PhD program, you would have the opportunity to receive further education within the Twente
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of cutting-edge statistical methods and machine learning algorithms inspired by massive healthcare datasets. Key Responsibilities Develop innovative statistical methods and machine learning algorithms
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starting in October 2024, January 2025, April 2025 and July 2025. Tuition fees cover the cost of your teaching, assessment and operating University facilities such as the library, IT equipment and other
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platforms. Responsibilities: Perform mass/spectral cytometry and ICS assays. Develop automated workflow using robotic platforms. Lab automation. Human samples processing Experimental tech development
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for playtesting and user research in new game development and establish & execute improved processes across R&D Collaborate with external vendors to offer additional services Develop creative solutions to overcome
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system. To develop appropriate therapies that can meet this challenge it is vital that we understand the pathological events following injury and the responses initiated during repair. Our research studies