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, Agricultural and Natural Resource Sciences (CFANS) development team is a strong, high performing, mission driven fundraising enterprise that consistently secures more than $25 million in philanthropic support
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two referees through this form https://www.um.edu.mt/hrmd/workatum-projects by not later than Monday, 7th September 2026. Late applications will not be considered. Further information may be obtained
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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | about 2 months ago
, analytical/semi-empirical hardening models, or data-driven analysis methods, along with a demonstrated ability to independently develop new methodological approaches # Experience with, or strong interest in
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data-driven modeling. The successful candidate will develop and apply data-driven methods for chemical discovery and molecular design. These methods include machine-learned interatomic potentials, data
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in a comparable senior Executive Education leadership role. A strong understanding of the Executive Education marketplace and commercial learning models. An established senior-level industry network
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-driven reusability assessment platforms integrating NDT data, machine learning models, and RFID-enabled traceability systems. Prepare and draft technical reports, conference/journal papers, and
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and a passion for investigating the role of the tumor microenvironment, in particular CAF-driven epithelial plasticity, using advanced experimental models. The primary research focus will be to define
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City offices (on a hybrid model). Nature is an international journal publishing ground-breaking research; its newsroom, which is independent, produces must-read stories about science and science policy
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External Posting Pay Rate Range 80,000 to 200,000 Close Date 12/31/2026 Priority Review Date (Note - Posting may close at any time) 10/02/2026 Job Summary About the role This is a research-driven design role
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Analyst II will also contribute to data quality and governance efforts, develop efficient data models and reporting processes, and ensure that institutional data is presented consistently and effectively