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Description of the workplace The position is based in the Microbial Evolutionary Genetics (MEG) Lab led by Johannes Cairns at the Department of Experimental Medical Science, Faculty of Medicine
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theory, signal processing, and quantum systems. Our research combines fundamental methods with algorithm development, with close connections to both academic and industrial partners. Our working language
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mathematical modelling of ecological and evolutionary systems. The research should complement and relate to the ongoing research conducted at the Department of Biology , thereby strengthening existing areas
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University of Gothenburg/Department of Biological and Environmental Science | Sweden | about 1 month ago
groups, with research at the garden straddling taxonomy, systematics, evolutionary biology, conservation, genetics, horticulture, and global change and restoration ecology. The GBG staff are diverse
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programming, algorithms and data structures, and databases, both relational and NoSQL) and in distributed systems and cloud computing (virtualisation and containerisation, cloud platforms, and data management
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courses such as geographic databases, Web GIS, GIS algorithms and data structures, geospatial artificial intelligence (GeoAI), and the collection and analysis of 3D geodata. The position includes course
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research fields. The international research group includes around ten researchers specializing in evolutionary biology, ecology, and conservation biology, with a particular focus on fish and fish populations
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involve, for example, studies of somatic mutational processes, clonal dynamics, tumor evolutionary history, or integrative analyses of genomic and clinical data. Analyses of non-cancer-related sequencing
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. Machine learning algorithms have been considered in many application domains, including Internet of Things (IoT) systems. The adoption of machine learning in these domains creates many new opportunities
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. Specifically, the doctoral student will determine how microbial resilience and resistance to drought can arise, along with its ecological, physiological, and/or evolutionary underpinnings. This work will combine