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presentations; Collaborate with internal teams, partner laboratories, and industrial stakeholders. Candidate Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or
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Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or related discipline; Proven experience in ore characterization and process development; Strong
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of carbon, nitrogen and phosphorus and their internal cycling between minerals, soils (incl. microbes) and plants. We will use the model to simulate the evolution of biogeochemical cycles under shifting
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composites and their applications. Participate in the supervision of undergraduate, master’s, and doctoral students. Criteria of the candidate To be considered for this role, you will ideally have: PhD in
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To be considered for this role, you will ideally have: PhD in Computational Chemistry, Materials Science, or a related field. Strong background in computational chemistry techniques, including molecular
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ROS and simulators such as Isaac Gym or MuJoCo (this is a plus). Criteria of the candidate PhD in the subject discipline Prove ability to perform multidisciplinary research and contribute to funded
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candidate will investigate robot learning methods for control and decision-making on edge robotic platforms. Research will focus on reinforcement learning, imitation learning, and the integration of large
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
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communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish results in leading journals and present findings at top-tier international