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high-priority condition as new disease-modifying therapies are developed. This PhD tackles a key diagnostic bottleneck in ADTKD-MUC1 and integrates precision genomic medicine into routine kidney care
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computer science, biomedical informatics, engineering, statistics, or a related field either at the time of application or be working towards the PhD. Application Requirements Document requirements Curriculum Vitae
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teach you many translatable skills and knowledge from the fields of sleep medicine, sleep physiology, statistics, artificial intelligence, and psychology for example. A very significant and specific
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State University of New York University at Albany | Albany, New York | United States | about 5 hours ago
across diverse disciplines, attend conferences, and participate in research-related events. He or she may also engage in mentoring PhD students. The selected candidate will also have opportunities to be
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Two PhD positions in Economics Jönköping International Business School, Jönköping University, Sweden We invite applications for two fully funded, full-time PhD positions in Economics starting
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analyse large datasets such as the Clinical Practice Research Datalink (CPRD) and Hospital Episode Statistics to identify activity related to the treatment of community acquired pneumonia. This will require
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Liverpool where, in the School of Computer Science and Informatics, we have an active group of PhD students, postdocs, and academics working at the intersection of Machine Learning, Verification and
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Centre for Quantum Mathematics (QM) at Department of Mathematics and Computer Science (IMADA), University of Southern Denmark (SDU) invites applications for several 3-year PhD positions in quantum
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synergies between methods and ideas of modern machine learning and of statistical mechanics for the study of stochastic dynamics with application to the analysis of time series. In particular, the project
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Natural Resource (ENR) Group at Wageningen University & Research as a PhD candidate and explore the economic trade-offs involved in the transition to renewable energy. As a PhD candidate, you will assess