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to the multidisciplinary character of ACER CoE, the ideal candidate must have as well a multidisciplinary scientific profile: PhD degree in Materials Science, Chemical Processes or another suitable engineering discipline
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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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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 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
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under changing environmental conditions. Play an active role in supervising and providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory
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modalities. Therefore, the ideal candidate will be expected to conduct homologous overexpression, gene silencing, sequence analysis and contained phenotyping. Education A PhD in Molecular Biology, Genetics