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to) SIESTA (www.siesta-project.org) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program, based on Density Functional Theory, which can be used to describe the atomic
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. The successful candidates will be joining the Photon Harvesting in Plants and Biomolecules group led by Prof. Dr. Nicoletta Liguori. Our group combines state-of-the-art methods in experimental ultrafast
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/or implementation of algorithms and/or computational pipelines Background/experience in building statistical and/or machinelearning methods, in particular for data integration tasks, would be a plus
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) and its TranSIESTA functionality. SIESTA is a multi-purpose first-principles method and program based on Density Functional Theory, which can describe the atomic and electronic properties of systems
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and 2D materials, and oxides. Fabrication of functionalized Pb-free MHPs by solution processing methods. Fabrication of complete Pb-free MHPs solar cells and memristors (TFTs). Stability analysis
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and computational methods. The lab encourages wet lab scientists to engage in their own data analysis and provides a supportive environment to this end. The group is funded by European Research Council
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analysing deep shotgun metagenomic data in large cohorts, detecting horizontal transmission). We are mostly computational, but have a small lab component and work in close collaboration with the CRG core
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for the generation of clean H2 from non-ideal water streams, looking at oxygen evolution and parallel purification reactions. The candidate(s) will also work with the team to scale-up of the system in area, number
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contracting some products (health insurance, childcare, training, among others.) Training activities: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date
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: languages, mentoring programme, wellbeing programme. International environment Estimated Incorporation date: as soon as possible How to apply: All applications must be made via the ICN2 website and include