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Field
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of strategic metals and the development of fresh Lithium-ion Batteries & Supercapacitors Experience in Statistial models for optimizing the chemical process Skills in elemental & structural analysis using
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: 1) Drones for Infrastructure Inspections and Interactions 2) Real-time processing, and 3) optimized power electronics. The section currently has 15 academics, including professors, PhD students, and
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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pipelines, Mixed Reality Toolkit customization, and performance tuning under hardware constraints; collaborating on robot motion planning, path optimization, and sensor data processing algorithms
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nanomaterial-nucleic acid hybrids for optimal device bio- and gas sensing, as well as for optoelectronic applications. About You The candidate will have experience in materials science research and ideally DNA
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, you will work at the intersection of data science, epidemiology, and clinical research, developing innovative methods to optimize the use of rich real-world data. You will be part of a collaborative
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tasks that best suit your strengths. This could involve the design, optimization, and fabrication of advanced devices using numerical methods like FDTD; taking charge of spectroscopic experiments
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, and materials characterization to join a cutting-edge research team. The project focuses on developing sustainable and optimized processes for vanadium extraction and purification, with the goal
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associations, and the surface properties of the minerals. In general, a mineral cannot be floated even if the processing conditions are optimized if it is locked (encapsulated). To improve flotation recovery
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expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming and