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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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. Characterize the extracted cellulose fibers using analytical techniques such as FTIR, XRD, SEM, TGA, and others. Evaluate the environmental and economic aspects of the developed methods. Collaborate with
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. Have a good knowledge of analytical techniques (GC/LC-MS, HPLC, etc), spectroscopic techniques (UV-Vis, FTIR, Raman, NMR, XRD, spectrophotometry, etc), and microscopy techniques (SEM, TEM, AFM, etc
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analytical techniques for adsorbent. catalyst and product characterization. Knowledge of process modeling software (e.g., Aspen Plus, COMSOL, or equivalent) is a plus. Excellent written and oral
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related discipline; Proven experience in ore characterization and process development; Strong background in mineral beneficiation and solution chemistry; Excellent analytical and problem-solving skills
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-reviewed journals. Strong analytical and problem-solving skills, with an ability to interpret and analyze experimental results. Familiarity with laboratory safety measures. Application and Selection
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, metabolomics. Excellent analytical, organizational, and communication skills. Ability to work both independently and as part of a collaborative team. Please submit the following documents: Cover letter outlining
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phosphate. Familiarity with principles of green chemistry and renewable resources. Ability to design and carry out flotation tests, including reagent optimization. Strong analytical and problem-solving skills
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processes, such as microbial activity and mineral replacement, which govern the mobility and fixation of trace elements. The position involves conducting fieldwork, as well as applying multiscale analytical
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fertilizer formulas. Characterize produced fertilizer formulas using various physicochemical and analytical tools such as spectroscopy, microscopy, porosity analysis, to assess structure-property relationships