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research and teaching challenges of UM6P, in particular on green and environmental chemistry applied to all aspects of chemical sciences: organic and inorganic chemistry, analytical chemistry, chemical
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devices; evaluate and integrate new analytical instrumentation. Testing & Characterization: Design and execute experiments to evaluate mechanical, thermal, and chemical properties; analyze data to inform
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analytical, problem-solving, and critical thinking skills Demonstrate initiative and ownership in carrying out tasks independently
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of electro- and photochemical modalities into digital chemistry frameworks employing analytical feedback for the acceleration of chemical discovery. The successful candidate will be required to make a leading
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or electrochemical system PhD in Chemistry/Materials Science/Physics Encourage initiating activities on MOF development, devising, and analytical process Experience in machine learning will be preferred Good oral and
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for in vitro diagnostics. Specifically, the duties of the post are: Optimisation of automated analytical workflows for high-throughput glycan analysis Plan and program for an automated workflow using a
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systems or autonomous AI frameworks · Solid foundation in computational biology · Proficiency in Python and modern ML frameworks (e.g., PyTorch, JAX) · Strong analytical, problem solving, and communication
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new membrane structures and materials Characterization and analysis of membrane properties using advanced analytical tools, e.g., SEM, TEM, XPS, AFM, etc. Performance testing of membrane in various
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within and external to the university. Self-directed learner who believes in continuous learning and development Highly proficient in technical writing and presentation Strong analytical and critical
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-oriented researcher who is committed to producing careful, high-quality technical work. The primary responsibility of this role is to plan and execute field measurements and analytical investigations of lift