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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
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trials based on experimental design. Contribute to the numerical modeling of beneficiation circuits (e.g., using USIMPAC or similar software). Analyze, interpret, and report the outcomes of simulations and
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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, Education, qualifications and experience PhD in a relevant field such as plant sciences, computational biology, or bioengineering with a focus on image analysis. Proven experience with image processing
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of the BMS in lithium-ion batteries, including sensors, actuators, and controllers. In our facility, we are establishing a research unit focused on developing the necessary hardware and software components
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applications of quantum dots. Write technical reports, research papers, and grant proposals. Present research findings at internal meetings, national and international conferences. Education PhD in Materials
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between catalysts and reactants. Write scientific reports and research articles and participate in conferences. Candidate Profile PhD degree in Chemical Engineering, Materials Science, or a related field
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proposals and presentations. Requirements: Specify the required qualifications and experience for the position. This might include A PhD in a relevant field such as mechanical engineering, materials science
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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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systems (software, platforms). Develop decision-support tools based on simulations for public and private stakeholders. Contribute to scientific publications and establish partnerships with public, private