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Postdoc in Genetic Engineering of Green Microalga Chlamydomonas Reinhardtii with the Purpose of A...
. Recent studies identified natural bio-converters, such as bacteria and fungi that contain efficient PET-degrading enzymes (PETases). These PETases are currently being optimized to enhance their enzymatic
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optimization Who we are At the Department of Agroecology, our main goal is to contribute to sustainable solutions to some of the world’s biggest problems within the areas of soil, plants, animals, humans, and
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and optimize advanced protocols (e.g., single-cell assays, CRISPR-based screens) Collaborate with an interdisciplinary network of computational biologists, clinicians, and international research
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physicochemical properties of PFAS, thereby supporting environmental risk assessments and optimization of removal technologies. Responsibilities and qualifications The postdoctoral researcher will work on the
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: developing and implementing a data reduction pipeline for 2ES to achieve extreme RV precision; conducting laboratory testing and characterization of 2ES to ensure optimal performance and stability; integrating
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Job Description Do you want to contribute to a new research field where oxide/metal hybrid devices are geometrically optimized to yield extraordinary performance, including the highest
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, large datasets, physical modeling, optimization, and safety and security are key factors. Our main showcase is the water sector, where we have designed and built a specialized laboratory focused on
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frameworks to support predictive maintenance assessment of PV plants. Your main responsibilities will include: Developing and optimizing daylight luminescence imaging techniques for field inspection
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optimizing heat transfer, cost-effectiveness, and integration with façade panels. We aim to create scalable, sustainable building solutions. The project is integrated in an international project financed by
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to join our team working on next-generation speech enhancement technologies. The project explores innovative approaches that move beyond traditional reference-based methods, leveraging optimal transport and