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Field
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, in natural science and/or social science domains. Candidates should possess a PhD (or be near completion) in PhD in Computer Science, AI, Security, or a related field. You will have a Strong background
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(or be close to completing) a PhD in Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply
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efficient beneficiation and purification processes for recovering potash and associated valuable elements from natural mineralizations, while ensuring the sustainable management and valorization of the brines
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of flotation process parameters based on experimental results. Work closely with a multidisciplinary team, including experts in mineral engineering, chemistry, and process optimization. Supervise MSc/PhD
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application form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Two letters
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Linguistics, Natural Language Processing, or a closely related field or PhD near completion in Computational Linguistics, Natural Language Processing, or a closely related field* Demonstrated experience with
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• Knowledge of multimodal data processing (time series, text, signals, etc.) • Familiarity with Large Language Models (LLMs), natural language processing, and reasoning based AI • Understanding
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processing, natural resource engineering, or a field of equivalent expertise. A doctoral degree awarded no more than three years before the application deadline provides a useful qualification. Candidates who
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advantage. You should have a university degree at PhD level in the field of economic sciences, including finance and accounting, or mathematics and natural sciences, focusing on mathematics. Our team offers
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in mineral processing, natural resource engineering, or a field of equivalent expertise. A doctoral degree awarded no more than three years before the application deadline provides a useful