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Posting Summary Logo Posting Number STA00188PO26 Job Family Operational Analysis Job Function Business Intelligence USC Market Title IT Technical Trainer Link to USC Market Title https
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Howard Hughes Medical Institute - Janelia Research Campus | Virginia Beach, Virginia | United States | about 18 hours ago
evolutionary biology principles into protein language models. This role will contribute to peer-reviewed publications and advance the state-of-the-art. The project will have two homes: one at HHMI’s Janelia
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development as part of its strategic priorities for the next ten years. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new
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. Adopting a new higher education model based on the concept of Syntegrative Education (SE), XJTLU is currently opening a new Entrepreneurial Education site in Taicang, part of wider Suzhou, where
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, life science and energy research with world-leading industrial research and development projects. The division of Condensed Matter and Materials Theory constructs models for and develops
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. They will also lead the development of predictive distribution models that incorporate data from the experiment. The project is funded by the USGS CASC. Qualifications Required Qualifications: A completed
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. Needs may become available prior to or during each semester. Program and course information can be found at https://www.cvtc.edu/academics.aspx#programs . Upon successful submission of your application
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role areas are: Developing and applying advanced molecular thermodynamic theories and models for water and electrolyte systems relevant to energy, materials, environmental, and biological applications
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emerging trends for use in course development. Knowledge of Shareable Content Object Reference Model (SCORM), and 508 Accessibility requirements to ensure compliance. Ability to communicate in writing in a
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learning and genomics. Specifically, the candidate will work on developing and applying cutting edge deep learning frameworks for modeling massive single cell and bulk multi-omic datasets. Duties include