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microscopy (EM), electron tomography and image analysis, in medical, biological, chemical, biochemical and physical research areas. You will be involved in teaching methodology courses at postgraduate level
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improved care for people affected by prostate cancer (PCa) or kidney cancer (KC). This position will focus on modeling AI trustworthiness and explainability in medical data and models (mainly imaging data
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Background and description of tasks Our group develops new single-cell multiomic methods to characterize microbial
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fixed organization and user fees as described on the homepage (https://www.umu.se/en/research/infrastructure/biochemical-imaging-centre-umea-bicu/). BICU is part of a distributed National Microscopy
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transmission by mosquitoes. We are now looking for an an imaging expert for a project funded by the Wallenberg Foundation. Aim of the position is to combine a range of volume imaging technologies (FIB-SEM, nano
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for a trade union organisation or other similar circumstances, and for relevant duties/assignments within the subject area. It is meritorious if you have specific experience working with medical images
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. For more information, please see https://www.scilifelab.se/data-driven/ddls-research-school/ Data driven epidemiology and biology of infection cover research that will transform our understanding
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conditions. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ The department's research on responsible and human-centred artificial intelligence
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further developing code-based workflows for data collection, processing, and database updates, including work with external data sources and APIs. Developing methods and program code that ensure
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. The project employs several techniques including fluorescence microscopy, electron microscopy, and advanced image data analysis. Duties Establishment of plasma membrane model systems and studies of replication