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data collected, preparing high quality outputs, disseminating research findings to different audiences and completing administrative tasks related to the study. You will gain experience of conducting
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Description of the offer : We are opening two positions in the field of “Metallic and Oxide Materials for Orbitronics and Magnonics” at Institut Néel, CNRS, Grenoble The first position (PhD
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. There will be three research fellows appointed in different stages of the project. For this post, the successful candidate will primarily focus on developing LLM agents to support effective theory of mind
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understanding of mineral processing's influence on cementitious materials across different scales and timeframes. This position plays a crucial role in the continuation of our DFF-Research Project 1 supported by
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approaches. The postholder will contribute to analysing the qualitative data collected, preparing high quality outputs, disseminating research findings to different audiences and completing administrative
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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of efficient and robust neural networks. About your role: Independent research in the area of mathematics of machine learning, focusing on the development as well as the analysis of different algorithms and
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: A PhD in Computer Science, Engineering, Mathematics, theoretical Physics or other degree programs from top universities involving at least one of the following topics: Machine Learning, AI, Dynamic
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to involve the postdoctoral researcher in the supervision of a PhD-candidate, and we encourage and facilitate publishing and attracting research funding beyond the involvement in PERSIST. In short, we try to
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. Write manuscripts, develop research goals, and mentor student. Qualifications: Appropriate PhD. Ability to stand for extended periods to perform laboratory duties. Ability to lift and move heavy objects