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measurements to the results of existing techniques using backscatter to quantify forest attributes through synthetic aperture radar imaging. The overall project, spanning multiple institutions, aims to produce a
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of cancer cells. The models are trained on high-throughput datasets, including metabolomics, proteomics, and transcriptomics, and constrained to align with the cell’s molecular networks. This allows us to
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with other group members, collecting amino acid sequence data from across multiple fully sequenced genomes. The student will conduct a variety of measures of protein phenotypic diversity, in the form
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components of organisms’ general life-history decisions. The work involves accumulation of mutations in different fly lines, extracting DNA and building libraries for sequencing, as well as bioinformatics
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-throughput sequencing of genomes and biomes, continuous recording of video and audio in the wild, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats
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of Stockholm Trio (KI, KTH, SU) and is the only SciLifeLab site that co-localizes researchers from multiple universities under one roof. By working together Stockholm Trio has been able achieve a significant
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the Laboratory for Molecular Infection Medicine Sweden (MIMS), and have the chance to use the multiple facilities (e.g., NMR, metabolomics, protein expression, cryoEM) for a successful PhD. In
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application no later than August 1, 2025. Project description Linear algebra expressions are evaluated in an efficient and robust way by mapping them to a carefully chosen sequence of calls to optimized
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of salt-induced cell clustering will be investigated using genome sequencing, genetic engineering, screening of genetic libraries and/or transcriptomics. Confocal microscopy and automated microbial live