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university has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in
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applications in linkage with incubation and start-up ecosystems. About ACER The centre has been recently created to address enduring process challenges in Chemistry and Engineering disciplines and create
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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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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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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing
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surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization of flotation process parameters based on experimental results. Work closely with a multidisciplinary team
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: Coordinate sampling campaigns utilizing drone surveys and reverse circulation drilling techniques. Conduct comprehensive physical, chemical, and mineralogical characterizations utilizing techniques such as XRF
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. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS architecture and electric mobility systems.
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and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics and professionals in order to boost its quality-oriented research