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linguistics. Potential fields of research include, but are not strictly limited to: Language variation and change on all levels of linguistic analysis (phonetics/ phonology, morphology, syntax, semantics
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that include an educational component including courses. This is the right position if you are highly motivated about fundamental science and excited about physics questions related to solid and fluid
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candidates, and three master’s students. The candidates will be able to participate in the larger Cosmoglobe project, including analysis on archival data such as Planck, WMAP, and DIRBE, as well as ongoing
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tasks: We are looking for a researcher who is interested in combining computational methods with literary analysis, and who enjoys working collaboratively. Stage 1 of the AI Stories project is already
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combining computational methods with literary analysis, and who enjoys working collaboratively. Stage 1 of the AI Stories project is already underway and involves developing the theoretical framework to apply
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digital health. Our research integrates AI, wearable and nearable sensor data, continuous glucose monitoring data, self-reported data, and multi-omics analysis to develop predictive models for steroid
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any other institution for the time of the fellowship. Experience with machine learning techniques is an advantage. Experience with the analysis of omics data is an advantage. The LEAD AI mobility rules
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effects between the gut microbiome and drugs, and the impact on drug dosing. Relevant methods include pharmacokinetic investigations in patients, shotgun sequencing, bioinformatics, HPLC-MS analysis of drug
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) to foster circular business practices (i.e., circular economy), reduce CO₂ emissions, and enhance resource efficiency. A DPP, serving as a core data element of the circular economy, is a publicly accessible
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and control of energy systems, with shallow geothermal technology as the core element. The project will leverage system integration and optimized operation using AI techniques as key drivers