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while optimizing sequence properties. An emerging frontier focuses on designing proteins that act as templates for inorganic interfaces, forming symmetric oligomers that control inorganic material
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prototyping tools to accelerate system development and optimization (e.g., 3D printing, laser-cutting, CNC machining); Programming skills in a variety of languages (e.g., MATLAB, Python, Arduino) is highly
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Description of the offer : NanoGUNE is a research center devoted to conducting world-class nanoscience research for a competitive growth of the Basque Country. NanoGUNE is a member of the Basque
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the environment, such as nuclear spins as well as 4f-shell electron spins. Our research group operates two state-of-the-art cryogenic STM systems, each optimized for ESR-STM experiments. As a postdoc, you will be
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Neuron Disease Centre and will be based in the Kavli Institute for Nanoscience Discovery. Using patient iPSC-neurons, our group aims to determine regulatory pathways affected by neurodegenerative disorders
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programme will proceed in three main phases. In the initial phase, you will develop and optimize physical and numerical models describing the electron optics of the complete probe-forming column, including
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of proteins with near-atomic accuracy. Models such as RFdiffusion, LigandMPNN, and hallucination-based frameworks can now generate symmetric oligomers, cages, and backbones while optimizing sequence properties
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a
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environments. Working closely with partners in the NEXPECH₂ project, you will analyze their materials and provide valuable insights to help optimize device performance. Additionally, you will support