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Field
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that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases Developing statistical, graph, and/or machine learning models to study
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for the entire duration 36 working days of vacation per year. Excellent career development opportunities and a stimulating international working environment. Required documents Curriculum Vitae. Complete
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transport for inverse problems One of the central topics of the research projects is the further development of theory and methods for the concept of optimal transport for inverse problems. Optimal transport
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Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction patterns, and DeFi protocol operations Creating and evaluating tools, documentation, and open
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Qualifications: A PhD degree in a field related to exposure science, environmental health, or environmental chemistry; experienced in HPLC-MS analysis and other web lab skills; with publications showing analysis
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in the implementation of the programs and projects in special areas of interest to the laboratory. Contributes to the development of performance standards, selection of methodology and instrumentation
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: Focus Data science and/or statistical methods development addressing questions of health, technology, housing, education, innovation and others impacting national and international urban communities
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SQL databases and file repositories. We are now taking the next strategic step: developing ontologies and a dynamic knowledge graph to semantically link our internal data systems - and connect them
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20-million-dollar investment by the Commonwealth to enable machine learning research, strategic development of programs and translation of high impact research into the Australian community. The tasks
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of hormone-dependent breast cancers." PI: Dr Barbara Pucelik Project Description: The project aims to develop innovative (nano)hormone chemotherapy for hormone-dependent breast cancers expressing the HER2