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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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sciences: organic and inorganic chemistry, analytical chemistry, chemical biology, biochemical and thermal reactions. Research at CBS is organized around several major areas, which aim to answer challenging
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mechanical, mineralogical, and rheological characterizations of MATs. Select and dimension an appropriate autogenous mill for pilot testing. Lead the design and execution of lab-scale autogenous grinding
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programming skills (e.g., C, C++, Python), familiarity with Linux Proficiency in English and ability to work in a team Outstanding analytical and problem-solving skills Employment terms: The successful
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, XRD, and EDS for micro- and nano-scale phase analysis. LA-ICP-MS for ultra-trace elemental quantification. Investigation of impurity phase removal (e.g., Fe, P, Si, REEs). Environmental and economic
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biochemical assessments. Assessment of plant physiological and biochemical responses under (a)biotic stress. Analytical techniques and modeling of plant nutrient use efficiency, yield, and soil health
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assemblies, ideally with a focus on battery materials. Demonstrated proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation
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with the functional performance of nanofibers in various applications. Characterize the extracted cellulose fibers using analytical techniques such as FTIR, XRD, SEM, TGA, and others. Evaluate
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geometallurgical modeling, mining environmental risk assessment, and the valorization of mining waste. The successful candidate will lead cutting-edge research in the characterization, modeling, and sustainable
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, participate in grant writing activities, and seek external funding opportunities to support ongoing research projects. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic