Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Jets" "Strings in Quantum Chromodynamics" "Topics in Heavy-Quark Physics" (with Prof Ulrik Egede) List of Past Projects I have supervised (3rd-year, honours, and PhD). web page For further details
-
drought early warning and monitoring system for large-scale river basins. The project will explore both data-driven and model-based approaches for drought predictions, paving the way for a continental high
-
transdisciplinary research field that explores how technology can support health and sustainability through digitalisation, data-driven systems, and intelligent decision support. About the position This PhD position
-
Applicants are invited for a PhD fellowship/scholarship at Graduate School of Technical Sciences, Aarhus University, Denmark, within the Electrical and Computer Engineering programme. The position
-
they must: Demonstrate a strong interest in the project and analysis of large amounts of data Demonstrate strong motivation for the project Demonstrate the ability to work independently and in a structured
-
stability. You will be part of AGILE, a large international project alongside 14 other PhD. students, all pushing the boundaries of quantitative imaging in plants. The ideal candidate profile: Must-have: MSc
-
interest in cell biology (DNA repair field), microsccopy and processing of large datasets Strong English language skills – both spoken and written Eager to learn innovative approaches in data analysis
-
, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in
-
trials and knowledge of fundamental ethology in farm animals Knowledge of data handling, with some exposure to big-data workflows or modelling Good communication and interpersonal skills Candidates who
-
and Computer Science at the University of Basel are inviting applications for a PhD position focused on the foundations and applications of reasoning with large language models (LLMs), including