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: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline. Sound background in Electrochemistry/Chemical & Mineral Processes/Chemistry Experience in the recovery
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: The candidates must have strong experience in MOF synthesis and characterization with a PhD and demonstrated experience in Materials Science, Materials Chemistry, Inorganic chemistry, catalysis, and related
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under investigation. Job Description: The position is open to candidates with a PhD or equivalent in a relevant discipline from a recognized university. Applicants must demonstrate that their doctoral
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recently completed (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
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providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture
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, R’ or Python programming, Co-supervise PhD and undergraduate students. Be willing to be involved in other research activities different than spectroscopy, such as soil phosphorus, agronomy
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operational teams to integrate proposed solutions. Conducting literature reviews and contributing to scientific reports and publications. 3. Candidate Profile PhD in Mining Engineering, Industrial Engineering
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operational conditions. Collaborate with researchers in diverse projects and contribute to scientific publications and project reporting. Candidate Profile PhD in electrochemistry, chemical engineering
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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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teaching academic courses related to urban heritage, spatial justice, or affiliated domains. Required Qualifications PhD in Architecture, Urban Studies, Geography, Anthropology, History, or a related