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Field
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participation, and publications listed in their curriculum vitae will be taken into account. Experience in structural optimization: work carried out in this field will be assessed (4 points per
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efficiency. • Maintain and culture microalgae strains under laboratory conditions. • Optimize transformation protocols to enhance efficiency and stability. • Prepare and analyse experimental data, documenting
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-169764OR-C22). The selected candidate will work in a multidisciplinary environment in the field of medicinal chemistry, molecular modelling and antiviral research. The project will involve the design and
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function approximation and optimal control. ● Contribute to writing scientific papers on the project results and assist in disseminating these results at conferences and workshops. The selected candidate may
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Description The Institute of Chemical Research of Catalonia (ICIQ) is seeking a Postdoctoral Researcher to work Prof. Rubén Martín’s group. This position will be funded by the project PID2024-160739NB-I00/MICIU
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applying lean methodologies to optimize processes and improve efficiency. Prior experience in designing and implementing procedures and policies in Operations within service companies is essential. Knowledge
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the frame of the HE ERC StG project ”PROXIE / Perceptual Realities: Optimizing XR through Perceptually-Informed Experiences (GA nº: 101220555 Positions Profile: Bachelor's degree in Computer Engineering or
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to the development of techno-economic models, and supervise the PhD candidate in all research activities related to energy economics. The researcher will work closely with the principal investigator and the project
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optimization of sample-preparation workflows for high-resolution spatial metabolomics (MALDI mass spectrometry imaging), with a particular focus on matrix sublimation. Support the implementation of on-tissue MS
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of construction and digitalization: optimization of construction processes, new and alternative cementitious materials, sensor-based monitoring of concrete performance, and sustainability assessment