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biology to pioneer research in immunology using single-cell and spatial transcriptomics data. The focus will be on development of novel computational methods for gaining fundamental insights into healthy
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modelling in transdisciplinary processes in order to examine ecological and socio-spatial change, existing biodiversity governance regimes and develop multispecies ethnographies to better understand
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This postdoctoral position offers a unique opportunity to work with research on two ongoing spatial transformation projects in Sweden. The projects situated in two different geographical contexts
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preclinical models. Applying advanced molecular and cellular techniques, such as bulk and single-cell RNA sequencing, spatial transcriptomics, immunohistochemistry, immunoprecipitation, RNA-pull down, ChIP-seq
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spatial point process models for the emergence and arrangement of objects (including birth-death dynamics, merging, and non-overlap constraints) with methods from shape analysis, in particular stochastic
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located at SciLifeLab in Stockholm. Our research is focused on cell biology, spatial proteiomics and machine learning for bioimage analysis. The aim is to understand how human proteins are distributed in
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publications see here: https://www.scilifelab.se/researchers/stefanos-stagkourakis/ Essential technical expertise (Required) This position is intended for candidates who can immediately operate at a high