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the adhesion and chelation properties found in nature. Furthermore, a fundamental part of the work will be the detailed study of the process for capturing and removing Contaminants of Emerging Concern (CECs
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operational data (WP3). Validate numerical models and verify 2D and 3D simulations (WP4). Collaborate on a timely basis on other work packages. Write the part of the deliverables corresponding to the UPC tasks
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of digital data in DNA. -Contribute to designing and optimizing methods for DNA digital data storage in nanomaterials. -Collaborate with interdisciplinary teams, including molecular biologists, chemists
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. Functions to be developed: Plan and execute pilot plant activities for water reuse. Supervise fieldwork and operation of the monitoring system: parameters, frequencies, and sampling procedures. Develop water
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valuable insights to help optimize device performance. Additionally, you will support collaborators by assisting with in-situ TEM measurements, facilitating cutting-edge research in sustainability and energy
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innovative experiments. The work will include defining and optimizing in vitro models using diverse cell types and advanced platforms, as well as establishing correlations between applied mechanical stimuli
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safety procedures and regulatory guidelines related to hyperpolarised agents and MRI operation. Participate actively in weekly lab meetings and other research group activities. Requirements for candidates
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environments, specifically Computer Vision, Machine learning algorithms and methods for rock characterization, fragmentation prediction, and mining optimization. Specific Requirements Good academic and
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be clinically tested in a small animal model. (Ref: PID2022-136961NB-I00)(HR25-00225). Main functions: Design, fabrication, and optimization of liquid-walled pumps (Qpump) capable of achieving
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work in the laboratory led by José Gallego at Catholic University of Valencia, Spain (https://portalcientifico.ucv.es/en/ipublic/researcher/325518 ) and will apply single-molecule experiments