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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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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
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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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, agro-ecology, soil, and plant science. The successful applicant will be appointed for a two-year postdoctoral position, collaborating closely with the project team throughout all stages of data
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duties, such as: Empirical data collection, for example, policy document analysis, stakeholder interviews, participant observation, and/or literature studies. Presentations at seminars and conferences
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Contact information to trade union representatives . To apply for the position Log into KTH’s recruitment system in order to apply for this position. You are responsible to ensure that your application is
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information about us, please visit: www.dbb.su.se . Project description The candidate will develop machine learning (ML) strategies, primarily revolving around interpretable ML and generative AI, to study
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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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, the establishment and optimization of behavioral assays under controlled oxygen conditions, image‑based analyses, and quantitative data processing and interpretation. The role also includes active participation in
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analysing data and writing articles. The duties of the post: Liaise with community partners Collecting and coding materials through qualitative interviews Conducting qualitative analysis Taking part in