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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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plus Education and training PhD in Bioinformatics or in Biology, Machine Learning, Statistics, Physics, Mathematics, Chemistry or related areas Languages: Highly proficient in both spoken and written
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focus on the newly-discovered physical and chemical properties that arise from the behaviour of matter at the nanoscale. ICN2 has been awarded with the Severo Ochoa Center of Excellence distinction
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widely used by the academic community (about one thousand citations per year), and has been a flagship code of the MaX European Centre of Excellence for exascale computing in Materials Science since its
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such as ATAC-seq, chIP-seq and 3D chromatin conformation capture data You have experience in the analysis of single-cell data Education and training You hold a PhD degree in Computational Biology Languages
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr.Leticia Tarruell . The Fermi-Hubbard model is a cornerstone model of condensed matter physics. It describes the physics
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feedback to experiments (when required) - Write scientific manuscript for publication. Requirements: Education: PhD in Physics, Materials Science, Chemistry, Computer Science, or related disciplines
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electronic engineering, physics, chemistry, materials science, nanotechnology, or closely related discipline. Good publication record. Experience in thin film or/and solar cell fabrication by solution
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understanding, capabilities and innovation, while inspiring and providing broad training to the next generations of researchers. Our research lines focus on the newly-discovered physical and chemical properties
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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