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Field
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grant project “Driving innovation in crop resilience through Comparative QTLomics.” The selected candidate will contribute to five main objectives: 1. Apply large language models (LLMs) to collect
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an innovative approach, UM6P places research and innovation at the heart of its educational project as a driving force of a business model. In its research approach, UM6P promotes transdisciplinary
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of human disease, particularly neurodevelopmental disorders, including data analysis, image processing, literature research, and composition. They will handle transgenic mouse models, maintain colonies
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well as processing of protein-rich fractions through dairy processes. Particular emphasis is placed on the relationship between process conditions, composition, structure and functionality of milk and whey proteins
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PostDoc in aerobiological modelling Are you interested in atmospheric science and can you contribute to the development of a new generation of numerical models describing concentrations and
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of polymers and composites used in civil infrastructure, with an emphasis on understanding and modeling the effects of moisture, temperature, and environmental exposure on material performance and service life
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will include examining fiber properties such as crystallinity, pore size distribution, fiber surface content, and metal ion composition, as well as conducting laboratory-scale dye uptake trials with
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. The work combines physics-based thermal design and process-level system simulation with high-fidelity computational fluid dynamics and fast reduced-order and machine-learning models, so that the final design
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Technology (RBIFCT), by the Research Fellow Statute (EBI), by the Norms for Grant Assignment and Management within R&D Projects, by the Code of Administrative Procedure (CPA), all in their current wording, and
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APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process . Please do not apply