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, the project employs a mixed methods approach, integrating actor-network mapping, interviews, extended case studies and participatory visual methods. By combining a global mapping of key actors, data flows
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anaerobic culturing techniques (e.g. anaerobic chamber, bioreactor) and analysis of 16S sequencing data. Furthermore, practical experience in working with mouse models is required. Other requirements
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in radiotherapy with the goal of enabling fully adaptive radiotherapy. The work is based on deep learning, where models are trained on generated or clinical data. The project is carried out in
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Description of the workplace The Division of Secure and Networked Systems at the Department of Electrical and Information Technology conducts broad research in cryptography, computer security
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Arctic headwaters. It will include field studies and the use of existing data, potentially complemented with modelling. The postdoc is also expected to collaborate with project partners and carry out
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). The project focuses on developing computational models for cancer risk assessment, integrating multiple types of data and risk factors. The main objective is to design and apply machine learning and deep
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, data analysis, as well as interpretation and presentation of research results. The main part of the work for the advertised position involves studies of specific antibodies and antibody repertoires as
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interdisciplinary research environment More information about Jönköping University as a workplace, conditions and benefits on www.ju.se . Required Qualifications Applicants must have been awarded a PhD in Computer
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evaluated and validated using uniquely integrated historical datasets comprising environmental, social, demographic, mobility, and epidemiological information. The successful candidate will contribute to a
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exposures and breast cancer risk. The focus of the project is on analyses of high dimensional and longitudinal data. The position is for three years, starting summer/fall of 2026 or upon agreement