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Doctoral student in Medical Science: Predicting eco-evolutionary dynamics in a polymicrobial urinary tract infection model Login and apply This content is hosted by a third party. By showing the
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PhD student in energy engineering – Model-based analyses of biobased fuels and gas turbines in a sustainable Swedish energy system Lulea Reference number 3982-2026 Are you ready to take the next step
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interdisciplinary studies on the role, interaction, regulation and significance of technology within society. This project deals with societal aspects in the intersection of copyright and AI model development
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Python within existing data pipelines Checking results against legislative documents and official registers and verifying licensing requirements for different data sources. Communicating with national
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new methodology utilising the LPJ-GUESS dynamic vegetation model and applying it for assessment of dynamics and carbon cycling in forests around the world. They can expect opportunities to
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at Lund University, Sweden, with Principal investigator (PI) Adam Koberinski. Particle physics is at a crossroads: on the one hand, the Standard Model of particle physics has withstood decades of
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searches and searches for phenomena beyond the Standard Model. Duties The main duties will be to take a leading role in the development of analysis methods to search for the production of two top
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Clouds and their responses to varying environmental conditions are particularly important determinants of current climate and future climate change. However, the resolution of a typical climate model is
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polymicrobial urinary tract infection model", investigates how species interactions shape antibiotic responses, community composition, biofilm formation and resistance evolution in a defined four-species UTI
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approach. Your tasks are to: - reprocess and jointly model the available regional magnetotelluric (MT), gravity and magnetic data to develop an initial model for screening the subsurface to select areas