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includes about 115 people of which 9 are professors. Our mission is to advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http
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spinal cord as a model system. You will engage a systematic strategy to identify these mechanisms by generating innovative mouse genetic strains, identifying embryonic defects and the underlying molecular
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and close links to advanced teaching. Work in Stockholm, in close proximity to nature Guidance on relocating and settling in KTH and in Sweden Read more about what it's like to work at KTH and our
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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contribute to advanced research in discrete-event systems. We are an internationally renowned research group that views automation engineering as a key enabler for new methods and applications, driving and
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used to reach this goal. These techniques include, but are not limited to, advanced molecular biology, flow cytometry, fluorescence microscopy, cell culture, high-throughput screening and genetic
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scale. Characterization of ash interactions with products. Imaging and determination of chemical composition with SEM-EDX. Advanced image analysis for quantification of porosity. Multicomponent chemical
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advance the understanding of forest ecosystems and how these should be managed today and in the future. For more information: http://www.slu.se/en/departments/forest-ecology-management/ Read more about our
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
(e.g., single-cell RNA-seq, bulk RNA-seq, ChIP-seq, methylation data, or any other). Proficiency in analyzing single-cell ATAC-seq and spatial transcriptomics, programming languages and advanced