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Mohammed VI Polytechnic University - Benguerir - Morocco Geology & Sustainable Mining Institute GSMI About the employer Mohammed VI Polytechnic University is an institution dedicated to research and
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for interacting with colleagues and stakeholders. Department Specifics Develop various machine learning and data mining models including convolutional neural networks (CNNs), Transformers, large language models
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ensure the integrity of the database. We also expect this position to help maintain the FRST website (soiltestfrst.org), develop grant proposals, assist collaborators in collating and publishing data, mine
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of software engineering techniques to ensure interoperability of their modelling and mining ecosystem. This position will run from October 2025 (or shortly after) and it has an expected duration of 24 months. A
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key leaders in the field of applied R&D. The main areas of activity will be, but not limited to: Chemical and biotechnological processes Urban mining Material processing technology Sustainable energy
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laboratory notebook; conduct data mining. Analyzes research data and summarizes results. Writes and may contribute to research papers, articles, and publications. Write research reports, presentations and
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Your Job: Lead the development and fine-tuning of AI models and LLMs specifically tailored for data mining in the physical sciences and engineering Fine-tuning and evaluation of open-source LLMs
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have experience in computational neuroscience and data mining using machine learning methods. The successful candidate will lead an independent research project dedicated to identifying abnormal neuronal
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of wastes/residues from mining and industrial sites. Conduct analytical measurements, collect research data and data interpretation. Write scientific articles and reports and assisting in the preparation
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, for initially up to three years (exten-sion possible), starting preferentially in September 2025 or as soon as possible thereafter. • A gross salary up to E13 TV-L. Salary will be deter-mined in