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Université Paris-Saclay GS Life Sciences and Health | Fontenay aux Roses, le de France | France | 16 days ago
. We have also developed highly accurate structural models of control protein complexes in association with Rad51 filaments. We will use a multidisciplinary approach based on genetics, molecular biology
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian You will be part of a dynamic research team working on topics relevant
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objectives are to process and characterize plant-based biomolecules from industrial food by-products and the development enzymatic extractive and precipitation models to maximize recovery efficiency and
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., hydrogels, polymers, structured tissues), with applications in biomedical engineering, soft robotics, and more broadly in adaptive multiphysics systems. The developed models will be physically based and will
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learning and LLM frameworks like LangChain and agent-based LLM frameworks, Retrieval Augmented Generation (RAG). Experience with fine-tuning, deploying, and evaluating Large Language Models. Experience with
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around three research axes: Axis 1: An investigation of legal and theological discourses on dispensation in the three religious traditions, and their possible interconnections, based on a corpus of
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they are Legal Permanent Residents of the United States. A complete list of Designated Countries can be found at: https://www.nasa.gov/oiir/export-control . Eligibility is currently open to: U.S. Citizens; U.S
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MORE – Laboratório Colaborativo Montanhas de Investigação – Associação | Portugal | about 9 hours ago
8 Apr 2026 Job Information Organisation/Company MORE – Laboratório Colaborativo Montanhas de Investigação – Associação Department Bio-based Products and Processes Research Field Engineering
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for part-time employment. Starting date: 27.03.2026 Job description:PhD position on physics-based machine learning modeling for materials and process design Reference code: 2026/WD 1 Commencement date
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to contribute to the development of innovative machine learning solutions using deep learning and multimodal foundation models. Working closely with leading researchers, you will design, develop, and implement