Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
understanding of biochemistry and materials chemistry with the ability to perform assay development. The successful candidate must be able to develop independent protocols for complex novel assays for multiple
-
to grow by 20% by 2030, these challenges require a shift from isolated logistics operations to collaborative, connected logistics networks. Upcoming policy measures, including kilometre chargers, CO2 caps
-
infrastructure and lab facilities to conduct world-leading fundamental and applied research within communication, networks, control systems, AI, sound, cyber security, and robotics. The department plays an active
-
chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
-
to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
-
. You will develop novel tools to visualise biomolecules (lipids, glycans, proteins) in cells to observe the dynamic formation of cell interfaces in epithelia. You will generate complex data based
-
are working to advance the understanding of complex systems through the lens of networks, and to apply this knowledge to solve real-world problems in a wide range of fields, including urban science, public
-
form, and attach all your materials in English in one PDF file. The file must include: Application (cover letter) CV Academic Diplomas (MSc/PhD – in English) List of publications Contact details
-
CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
-
healthcare applications. We use large real-world complex datasets, including data extracted from electronic health records and medical images, for applications pertaining to patient diagnostics and prognostics