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to deliver a high quality biodiversity dataset of benthic species occurances in the Atlantic. You will quality control the outputs of a newly trained artifical intelligance model for deep sea species
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trained artifical intelligance model for deep sea species identification, and you will support onward analysis of these datasets. For more information on Biological and Marine Sciences please visit our
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impacted their genomic diversity. The project focuses on Lepidoptera (butterflies and moths) as model system, that are currently threatened or vulnerable, which serve as important ecological indicator. By
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high potential for progression. The aim of the project is to develop an innovative in vitro model enabling investigation of the (micro-)invasion process in DCIS and identification of molecular markers
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. Research tasks: We are looking for enthusiast candidates who can strengthen the department’s research capacity in the field of spatial analytics and geospatial modelling. Thematically, the research should
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bioinformatician position at Lund University! National Bioinformatics Infrastructure Sweden (NBIS; https://nbis.se) is a large national infrastructure in rapid development providing support, tools and training
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private companies and actors from the healthcare sector. Several key infrastructure facilities are available, including specialized laboratories for spatial omics, mass spectrometry, flow cytometry, and
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developing mathematical modelling and observational data analysis using high spatial, temporal and spectral resolution state-of-the-art solar telescopes (e.g. SST and/or the 4m aperture DKIST). There is also
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the thymic environment and antigen-presenting cells influence T cell development, and how these processes safeguard an individual’s long-term immune health. Utilizing a combination of animal models and
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cutting-edge single-cell, spatial, in vitro, and surgical approaches in multiple model species and in human organoids to investigate the uterine endometrium and maternal-fetal interface, with the goal