Sort by
Refine Your Search
-
position will thematically be related to further understanding the geological conditions required to carbonate volcanic rocks, with an emphasis on volcanic stratigraphy in sedimentary sequences. The project
-
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
-
functional data ”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
”, led by Associate Professor Valeria Vitelli. Successful candidates will work on Bayesian models for unsupervised learning when multiple data sources are available, mostly tailored to the case
-
environment with multiple opportunities to develop research themes at the forefront of modern science A friendly, inclusive, and collaborative international working environment that values diverse perspectives
-
to an interview. We hope that you will apply for the position. The application must include Cover letter, describing your motivation for the position, alignment with the project goals, and how you meet the required
-
on post-training and alignment of generative LLMs for lower-resource languages, including both data creation and model fine-tuning. The work will be performed in close collaboration with the industry
-
Environment (from June 2025, the Centre for Global Sustainability). We welcome proposals for research that align closely with either or both of two externally funded projects that are starting in mid-2025
-
decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data, school-level aggregated data, and genetic data. The successful candidate is expected to use state
-
existing data linkages available in CREATE. These include linkages of registry data across several decades, as well as registry data linked to multiple large surveys with longitudinal individual-level data