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researchers. Required Skills Nuclear Instrumentation and Advanced Detection Techniques: Proficiency in detecting ionizing radiation and using Monte Carlo simulation software (MCNP, GEANT4). Knowledge of multi
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targets under the UN-Paris Agreement. The postdoctoral fellow will be trained at the USP/ESALQ Carbon Center in Brazil, (Sao Paulo State) under the supervision of Professor Carlos Eduardo Pellegrino Cerri
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. Prepare and submit high-impact scientific publications and present results at international conferences, workshops and meetings. Mentor master’s and PhD students as part of research activities. Collaborate
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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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. The candidate must hold a PhD in Urban or Rural Development, Civil Engineering or related domain. The candidate is expected to have hands-on experience in field related to urban or rural planning, renewable
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publications and contribution to collaborative proposals. Support of graduate student mentorship and lab coordination. Required Qualifications & Experience PhD in Materials Chemistry, Extractive Metallurgy
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collaboration between Geology and Sustainable Mining Institute (UM6P, Morocco), and Mineral-X (Stanford University, USA). Qualifications PhD in process mineralogy, mineral processing, mining, chemical or
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Middle Eastern cities. Key Responsibilities PhD in Architecture, Urban Studies, Geography, Anthropology, History, or a related discipline. Proven research record in urban heritage, spatial justice
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journals in the field. Participate to the supervision of PhD students and research internships. Criteria of the candidate: PhD in the field of Cryptography, Computer security or any related field. Strong
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using advanced geological modeling tools such as Datamine software, Leapfrog Geo and Surfer. Supervise MSc/PhD students working on related tasks. Publish high-impact papers and contribute to funding