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position within a Research Infrastructure? No Offer Description AgrifoodTECH COFUND Research Code: C1-BIG DATA We are seeking innovative research proposals that aim to contribute to advances in food safety
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, partially ionized gas that can be applied in gaseous or aqueous phases) has emerged as a promising area of research in postharvest science. Its potential relevance spans microbial safety, postharvest quality
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with experience in marine robotics, including hardware–software integration in AUVs/ASVs, programming in robotic environments, and execution of experiments in real-world conditions. Proven involvement in
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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and scientific exploitation of state-of-the-art, ground-based gamma-ray telescopes. As a key member of the MAGIC and CTAO-LST collaborations, the group develops critical hardware, software, and data
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Experience with optical simulation software used in gravitational-waves like Finesse, SIS, and others; knowledge of commercial codes like Zemax are a plus. Experience with electronics or hardware development
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure
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quantum dot films engineered at the atomic as well as at the supra-nanocrystalline level to address applications related to safety and security, remote sensing, environmental monitoring, thermal imaging etc
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Support mentoring and supervision of junior researchers and students within the group Maintain lab equipment and ensure compliance with safety protocols Funded by MCIN/AEI/10.13039/501100011033 and by
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generous holiday allowance, social security coverage, and employment benefits in accordance with Spanish labour regulations and UAM rules. - Support for further academic career development, including