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your character. If you can tick these boxes, you should continue reading. The overall aim of this PhD research program is to improve the use of computed tomography (CT) images for detailed and
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opportunity as an Industrial PhD student to work on a project that applies machine learning to improve diagnostic and reporting workflow processes in clinical kidney pathology. This project is a collaboration
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to the sea and its resources. The operation is conducted in Gothenburg, at the research stations Kristineberg Center for Marine Research and Innovation and Tjärnö Marine Laboratory, as well as on the research
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gathers a unique combination of expertise in computerized image processing, human computer interaction, and computing education. SciLifeLab BIIF is administratively placed here, and offers education and
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A PhD student position in computational microbial ecology is available at the Department of forest mycology and plant pathology , Swedish University of Agricultural Sciences in Uppsala
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, high-throughput imaging of biological specimens, and large-scale remote monitoring of organisms or habitats. The PhD project in computational microbial ecology will utilize a data-driven approach to
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based on DNA sequencing, expression analysis, proteomics, metabolomics, image analysis, bioinformatics and artificial intelligence. The goal is to make it possible for Swedish researchers to analyze on a
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, including around 45 PhD students, work at the department. New employees and students are recruited from all over the world and English is the main working language. The department is located at the Biomedical
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, education and innovation related to the sea and its resources. The operation is conducted in Gothenburg, at the research stations Kristineberg Center for Marine Research and Innovation and Tjärnö Marine
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components from major off-the shelf providers like Thorlabs/Newport Experience with multi-photon microscopy or other non-linear optical techniques Experience in image processing and analysis with ImageJ/Fiji