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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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7 Nov 2025 Job Information Organisation/Company Universitat Politècnica de Catalunya (UPC)- BarcelonaTECH Research Field Physics » Optics Researcher Profile Recognised Researcher (R2) Positions PhD Positions Country Spain Application Deadline 17 Nov 2025 - 23:00 (Europe/Madrid) Type of...
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of innovative concrete elements manufactured through advanced digital construction technologies. The position involves working on lightweight structural systems, geometry-driven architectural components, and
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oriented to improve digital skills. Access to CSIC infrastructure (e.g., HPC, Bioinformatic and Computational Biology Connection) Where to apply Website https://docs.google.com/forms/d/e/1FAIpQLSeGVtNv_
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specialised in digital techniques. The successful candidates will be able to implement advanced digital skills, visualise, and interpret data obtained from the analysis of samples from different users
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AI, digital fabrication, and sustainable design into their work. b) work on European, national and regional research and innovation projects. c) grant writing for European, national and regional
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techniques, including quantitative PCR, droplet digital PCR, Sanger sequencing, and next-generation sequencing. Ability to analyze and interpret genetic and molecular alterations associated with
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email to the address victor.verdejo@upf.edu with the documents signed with a digital certificate. If this method is not chosen, it is recommended to send an email to the specified address indicating by
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sustainability of biomaterial manufacturing through safe design methods, machine learning, and predictive life cycle assessment as well as developing machine learning and hybrid digital modeling methods, combining
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the challenges of ageing through scientific research, innovation, and digital transformation. In this context, we invite you to submit a proposal in the area: "AI-Powered Prediction of Early Ageing and Strategies