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field. The candidate should have excellent experimental and analytical skills relevant to the project (assessment of membrane processes and water quality analysis) are required. Experience in
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analytical and problem-solving skills, with an ability to interpret and analyze simulation and/or experimental results. Ability to work in interdisciplinary teams that involve experimentalists and modelers
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integrate field investigations, controlled experiments, and advanced analytical approaches, including soil chemistry, microbial ecology, molecular tools, and functional assays. Education A PhD in soil science
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qualitative and quantitative analytical methods. Excellent communication, teamwork, and stakeholder-engagement skills. Fluency in English and French. Italian is an asset. Desired Additional Skills Familiarity
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approaches to study the scientific problem from the perspective of biological(s) that have potentially high value or high impact in the African context; Select analytical methods that are suitable
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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