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employment as a doctoral student according to Chapter 5 of the Higher Education Ordinance (1993:100). The period of employment may not be longer than what corresponds to full-time doctoral education for four
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framework that integrates multiscale molecular dynamics (MD), AI and machine learning (ML) approaches, that together with biophysical characterisation techniques will advance the current state of lipid
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flow matching. Therefore, the doctoral student is primarily expected to be comfortable with using and developing new machine learning models, specifically generative ones, and publishing the results
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, the employment period can be extended. Start date 1 September 2025, or a later date as agreed. Wage placement takes place according to the established salary ladder for doctoral student employment. According
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, and will apply deep learning to integrate the analysis flows. The PhD student will develop the method and apply to numerous in-house samples of environmental sequences, pushing the boundaries of RNA
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of data-driven precision tools, seeking to improve on current paradigms for clinical risk predictions and individualized diagnostic paradigms. Improving atherosclerotic risk prediction has been a primary
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Ordinance (1993:100). The period of employment may not be longer than what corresponds to full-time doctoral education for four years. As a doctoral student, you should primarily devote yourself to your own
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Education Ordinance (1993:100). The period of employment may not be longer than what corresponds to full-time doctoral education for four years. As a doctoral student, you should primarily devote yourself
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University. About the employment We offer a fixed-term employment as a doctoral student according to Chapter 5 of the Higher Education Ordinance (1993:100). The period of employment may not be longer than what
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, electronic lab notebook systems (ELN), database management, and LIMS. About the employment This is a full-time, indefinite-term position with a six-month trial period. Stockholm University applies individual