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professional experience in data analysis, accounting, budget or finance operations in a large complex organization (typically two or more years); or longer tenure with increased responsibility in a smaller
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infrastructure. You'll build a large-scale foundational microscopy image dataset and develop scalable data processing pipelines. This includes collaborating with internal and external partners on data sharing and
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funding. References 1. Small-scale reconstruction in three-dimensional Kolmogorov flows using four-dimensional variational data assimilation (https://www.cambridge.org/core/journals/journal-of-fluid
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mutual agreement, it has the possibility to be extended to a second-year. Responsibilities: • Use advanced econometric methods to analyze large-scale datasets, including claims data • Produce policy
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and maintenance of open, community resources. Centre and group information: NCMBM (https://www.med.uio.no/ncmbm/english/ ); Computational Biology & Gene Regulation group (https://mathelierlab.com
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competitive, commensurate with qualifications and experience. Information and Application Further information on the post and the University is available at http://www.cityu.edu.hk , or from the Human Resources
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astroparticle physics, particle physics, and mathematical physics. The Astroparticle and Cosmology group (https://astrocosmolapth.com ) conducts research on cosmic large-scale structure, cosmic microwave and
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data science courses, soft skill courses and annual retreats) https://www.hds-lee.de/about/ Qualification that is highly welcome in industry Further development of your personal strengths, e.g. via a
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develop tools for ingesting, transforming, and integrating large, heterogeneous microscopy image datasets—including writing production-quality Python code to parse, validate, and transform microscopy data
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Indiana CTSI (e.g., genomics, microscopy/imaging, major animal facilities, chemical biology, others), and access to a large cancer tissue and data bank of the IUSCCC. Indiana University Bloomington campus