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Field
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We are seeking a postdoc to co-design efficient and realistic simulation algorithms for noisy quantum circuits in superconducting hardware, combining quantum modeling with hardware-aware performance
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the project Con-TEki investigates the role of transposable elements (TEs) as drivers of regulatory innovation in conifers (Norway spruce and Scots pine), contrasting outcomes with an angiosperm (aspen
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and designed proteins using a combination of classical and advanced techniques including optical and NMR spectroscopy, surface plasmon resonance, light and X-ray scattering, cryo-electron and
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design and development of organic and bio-based materials with tailored functionalities for energy transport, conversion, and storage, with a strong emphasis on sustainability and environmentally benign
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proven experience in data analysis of tree and stand data, described in scientific publications and/or thesis. Extra merits are previous experience in design of forest experiments for regeneration or stand
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, spectroscopy, and biomedical validation in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates
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placed on personal skills. Join us at KTH KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing
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innovation in conifers (Norway spruce and Scots pine), contrasting outcomes with an angiosperm (aspen). The project combines genomic, epigenomic and 3D chromatin profiling (ATAC-Seq, easySHARE-Seq, ChIP-Seq
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evaluation of algorithms for early drought stress detection by integrating interactive manipulation strategies with learning-based monitoring methods. This includes designing interaction primitives, processing
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risk factors. The main objective is to design and apply machine learning and deep learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include