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record to contribute to the development and automation of advanced electrolysis systems. The successful candidates will work on the automation, operation and optimization of electrochemical systems
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and take responsibility for its operation, upgrades, and routine maintenance. Map electrolyte–cathode compatibility and reaction kinetics using high-throughput SDC methodologies. Develop standard
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, liposomes and other vesicular systems. Proven experience in the design, fabrication and operation of microfluidic devices for the controlled production of soft materials. Strong background in polymersome self
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. The CRG is composed by an interdisciplinary, motivated and creative scientific team which is supported both by a flexible and efficient administration and by high-end and innovative technologies. In April
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environment. The successful candidate will join the international project “Photonics for Quantum (P4Q)”. P4Q will establish a distributed, pan-European infrastructure for manufacturing high-performance photonic
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. Interpreting findings associated with age-related diseases, such as cancer or neurodegenerative disorders. Performing clinical validations of patterns identified in samples from various sources. Performing
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the structural characterization and modelling of molecular and soft materials. • Experience of transport phenomena in soft electronic materials • Experience of scripting on high performance computer systems
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studies in mouse models of disease. This role offers a defined period of advanced, mentored training, providing the opportunity to deepen expertise, contribute to high-quality research projects, and
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for a short-term 2.5-month postdoctoral position (full-time) focused on developing and validating machine learning models that predict soil health and crop performance. The position will exploit datasets
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reducing negative impacts of business activities on ecosystems and their functioning. While much of the existing research on regenerative focuses on pioneering niche actors from sectors like agriculture