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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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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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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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research competence, Contact information for two referees who are willing to act as references, Other documents that the applicant wishes to claim. The application, including attached documents, must be
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research and future research interests (no more than three pages), contact information of at least two references, copy of the doctoral degree certificate, and other certificates/grades that you wish to be
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find more information on our research website . We care about creating a positive, respectful, and stimulating environment. We value communication and collaboration and a workplace that promotes learning
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working with associated techniques, such as bioprinting, is considered an asset. To be eligible for the position, the applicant must be able to analyze and interpret data, have excellent oral and written
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certificates/degrees that the candidate wishes to be considered, Contact information of at least two references, A research plan presenting the proposed topic to be investigated within the postdoc project
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techniques such as SEM, TEM, XRD, EDS, EBSD, FIB/SEM etc., as well as physico-mechanical characterization techniques such as tensile, compression, DSC/TGA, etc. as well as analysis of the data with good
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ovarian cancer and accompanying biomarkers for guiding personalized therapy. Work duties The main duty is to conduct research within the subject area, including experimental work, data analysis