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School of Electrical Engineering and Computer Science at KTH Job description Research in collaboration with medical doctors for patient data analysis using machine learning has a high impact on
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. pylori and host-microbe interaction focusing on bioinformatic analysis of bacterial omics data. We study large datasets of for example whole genome sequences of bacteria from different parts of the world
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and Lagopus using functional genetics and celular molecular techniques. She/he will also be responsible for producing and analyzing whole-genome, whole-transcriptome and epigenetic data for population
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at a high rate. Special emphasis is placed on: Experience in the analysis of large-scale datasets in microbial (meta)genomics Knowledge of microbial metabolism and experience in connecting genomics data
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to generate large amounts of complex data, which subsequently is followed by extensive and advanced data analysis. The work will be performed in a highly collaborative environment together with colleagues
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involved in many types of tasks. These include, among others: Design and development of new sequencing-based techniques and applications. Bioinformatics and analysis of data from development projects and
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information to trade union representatives at KTH’s webbpage . To apply for the position Log into KTH’s recruitment system in order to apply for this position. You are the main responsible to ensure that your
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Information about the division and the department The Department of Computer Science and Engineering (CSE) is a joint department at Chalmers University of Technology and the University
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has been established. Data processing is done either on in-house GPU-assisted workstations or at LU´s computing cluster LUNARC. We are currently seeking a service-focused assistant researcher to support
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regulation, cell biology and computational systems biology. Additional projects and collaborations can build on other research projects and data sets in the lab, ongoing collaborative efforts, as