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Michigan Institute for Data & AI in Society | Ann Arbor, Michigan | United States | about 1 month ago
Science at the University of Michigan Employer Michigan Institute for Data & AI in Society Location Ann Arbor, Michigan Salary dependent on fellowship Closing date 1 Nov 2026 View more categories View
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information for at least two academic referees Further information about the Centre for Radiopharmaceutical Sciences ETH/PSI can be found on our webpage https://radiopharmaceutical-science.ethz.ch/ and
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Department PSD Data Science: DDRI Tech Staff Leadership About the Department The Data Science Institute at the University of Chicago was established to support the development of emerging efforts in
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is multidisciplinary, fostering creativity and innovation. ( http://liu.se/loe ). You will work within the Materials Science group, part of the Theory & Modelling unit. Read more: https://wise
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. Further extensions can be granted in special circumstances. This recruitment is connected to the Wallenberg Initiative Materials Science for Sustainability (WISE, https://wise-materials.org ). WISE
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Christiaan Huygens Science Award Natural Sciences and Technology Early career scientists The Christiaan Huygens Science Prize honors a young researcher who has made an innovative contribution to
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PhD in Sustainability science Login and apply Lund University, Lunds universitet, Faculty of Social Sciences Lund University was founded in 1666 and is repeatedly ranked among the world’s top
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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. Novel Adversarial Machine Learning algorithms for structured data will be proposed. The algorithms will be further extended to graph-structured data. Applications of AML will also be investigated to
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-oriented. Meritorious Qualifications are: Advanced courses in data science or computational biology relevant for cancer research Previous research projects using bioinformatic methods for cancer research