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on bioinformatics analysis of spatial gene expression data as well as other modalities (i.e. microbiome; metabolites, proteins) generated using the Spatial Transcriptomics (ST) method, Spatial metaTranscriptomics
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on methodological development in cryo-electron microscopy (cryo-EM), particularly in image reconstruction and 3D volumetric analysis of macromolecular structures. Rather than aiming to incrementally optimize existing
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of Medical Biosciences, which offers an international, collaborative, and open-minded research environment. Please visit the lab’s webpage for more information: https://erdemlab.github.io . The Erdem research
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identity and extracellular signaling, but how cell types, signaling mechanisms, and transcription factors jointly determine tissue structure is incompletely understood. The Koplev lab is recruiting
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and international collaborations. The Benson group is focused on combining DNA nanotechnology with selection and sequencing to discover DNA structures that can act as pathogen binders or deliver drugs
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repertoires, recombinant antibody development, and immunochemical analysis to study the evolution of such responses during therapy, in combination with assessment of clinical outcomes of the therapy to define
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learning methods to understand and investigate the functional behavior of gender-specific cancers. The work will include: Development of ML/DL methods for multi-omics data analysis. Design and implementation
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structures in inflammatory diseases and cancer. The successful candidate will join a growing collaborative research group, who works closely with researchers in the Department of Gene Technology, SciLifeLab
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bioinformatics and statistics, with experience in analysis of next-gen sequencing data and an interest in evolutionary genetics. Excellent communication skills, a high level of motivation and good spoken and
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to contribute to applications for external research funds. In this project, your responsibilities will include leading the investigation of structural and biophysical properties of miniaturized tumor environment