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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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systems in the research project, including testing and troubleshooting. Implement and test machine learning models, which may involve data preprocessing, model training, and evaluation. Create and maintain
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Research Associate - Livestock Spatial Modeler The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work
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: 1116179 Position Summary Successful candidates are expected to work on molecular design and theoretical modeling of soft materials as well as their applications in healthcare and sustainability
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; conduct additional modeling, which could include impact models focused on crop water requirements and vegetative health; assist in the development and maintenance of UNIX-based systems for automatic data
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. Candidates with background knowledge and hands-on experience in mouse models, proteomics, 3Dorganoids,primary cells purification and culture skills are particularly welcome. Minimum Requirements: Ph.D
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Appointment Term: Initially 1 year, renewable Appointment Start Date: Start date is negotiable. Group or Departmental Website: https://www.huttenhainlab.com/ (link is external) How to Submit Application
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interdisciplinary teams specializing in solutions-oriented research while using a partnership model of research. The partnership model works to jointly design, develop, and conduct research that values diversity in
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SFI FAST: PhD position in Microstructure/texture evolution during extrusion of scrap-based Aluminium
physics- and data-driven models that deal with microstructure/texture evolution during extrusion to predict material properties of extruded profiles Collaborate with other researchers and industry partners
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. Budget Management and Acquisition: Models leads in the Libraries’ annual Research Materials Budget preparation, and monitors the overall expenditure of funds by subject librarians and other selectors