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causal and druggable targets. We are seeking motivated postdocs with strong analytical skills to join our effort and generate novel insights of neurodegeneration with this unique dataset, while working in
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processing and valorization; Operate and maintain mineral processing and analytical instruments; Design and execute laboratory-scale experiments for beneficiation (flotation, and others); Assess process
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. Experience in designing and carrying out chemical syntheses, also in anaerobic conditions. Experience in the use of analytical methods for characterization of organic and coordination compounds, including NMR
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- impact scientific and educational initiatives. Aptitudes Compétences Connaissances very good analytical and problem-solving skills strong expertise in deep learning, computer vision, and generative models
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bioconversion processes. Analytical Characterization: Perform chemical, biochemical, and structural analyses of raw materials, intermediates, and final products using advanced analytical techniques, including
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development of data architectures, analytics tools, and interoperability frameworks aimed at integrating building energy data into flexibility markets. They will work closely with an established team
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for the detection of small molecules and biopolymers, contributing to the advancement of next-generation analytical technologies. The successful candidate will play a leading role in developing and refining existing
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knowledge of state-of-the-art principles and theories. 5. Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions. 6. Adheres
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quality. The research project involves active groundwater testing and evaluation in critical minerals mine sites. Duke University has established state-of-the art analytical facilities capable to measure a
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your contributions to previous research Excellent organisational, analytical, and communication skills You will have the ability to work both independently and collaboratively within an interdisciplinary