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described in “Focus of the Doctoral Position” 6. Contact details for two references (e.g., previous supervisors) Incomplete applications will not be considered. Further Information For more information about
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for retrieval of nanoscopic information from their surfaces, microstructural information from their gut content as well as relating insect abundance to CO2 and heat convection cells in the atmosphere. As a
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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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. In this project, you will work on nanoparticle research in close collaboration with Dr Cindy Xiao, analyzing cryo-TEM and scattering data and integrating these results to draw scientifically robust
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and algorithm development as well as engineering methods that enable robust and efficient practical solutions. As society and technology evolve toward increasingly large‑scale, data‑intensive, and
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, imaginaries, and emerging technology-impacted practices. Detailed description of the work duties, such as: Empirical data collection, for example, policy document analysis, stakeholder interviews, participant
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, collaborating closely with the project team throughout all stages of data collection and analysis. The position will be supervised by Lennart Olsson, Professor at the Lund University Centre for Sustainability
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for further development. The postdoctoral position includes a combination of experimental work, data analysis, as well as interpretation and presentation of research results. The main part of the work for the
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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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%. Starting date June 1 2026 or as agreed. Placement: Uppsala For further information about the position, please contact: Magnus Lundgren, Head of the Ancient DNA unit, telephone: +46 18 471 26 96