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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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Expertise in one or more of spatial/landscape/community ecology, trait-based/functional ecology, macroecology, or ecological modelling Strong conceptual thinking in ecology Experience with predictive
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stress affects specific cell types in the nervous system and the gut, using human pluripotent stem cell (hPSC)-derived models of the enteric nervous system. Our work sits at the intersection of stem cell
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resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA
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and damaging storms, and cascading risks such as bark-beetle outbreaks. Forest owners and regional authorities need spatially detailed, timely information on where climate stress is emerging, and which
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About the Role Applications are invited to join an ERC-funded research programme. The successful candidate will work at the interface of bioelectronics, mechanobiology, and disease modelling
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are fulfilled A full-time position (38.5 hours/week); part-time employment may be possible within the framework of certain working time models Access to state-of-the-art single-cell and spatial omics
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treatment resistance in ovarian cancer. Vähärautio lab (https://vaharautiolab.org/) at the Medical Faculty, University of Helsinki, is seeking a bioinformatician or a computer scientist with strong
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, cell biology and gas-exchange physiology. Within the research unit “Cereal Stem Cell Systems - RU52350; https://cerealstemcells.de ”, we are recruiting a Postdoc to investigate how grass leaves spatially