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of Economics and Management seeks to maintain a balance between research and teaching in all appointments. In the assessment of applicants, equal weight will therefore be given to scientific and teaching
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in order to progress research projects. Preferred qualifications A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline Experience in
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flow behaviors that existing correlations and turbulence models fail to predict. Understanding and modeling these effects is crucial for industrial applications such as gas-turbine internal cooling
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molecular structures capable of transferring electrons and interacting with light. Such assemblies also have applications in biomedicine. The primary objective is to develop computational methods, using deep
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, purification and validation of formed cages using microfluidics diffusional sizing, DLS, mass photometry and cryo-TEM imaging. One a functional design is at hand, the work will be focused on structure
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2026. The university applies individual salary setting. Please feel free to indicate your salary expectations in your application. How to apply The position is applied for via the university's
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surgery and investigation of the tumor microenvironment using in-vitro systems. Ongoing projects in which the successful applicant will participate include: i) investigating whether reconstruction with
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-dorocic@dbb.su.se . Application Apply for the position at Stockholm University’s recruitment system. It is the responsibility of the applicant to ensure that the application is complete and that it is
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. Application Application documents must be submitted in Swedish or English. Must contain a CV, copies of grades and diplomas, thesis, a personal letter describing the machine learning research area you want
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for computational analyses. Use of software and applications for modelling in development cohorts and testing in validation cohorts. Development of predictive software and, in collaboration, management of the group’s