Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
Description Two PhD opportunities in computational biophysics/chemistry (Bremen, Germany) The group of Professor Ulrich Kleinekathöfer at Constructor University, Bremen, Germany, is offering one PhD
-
the complexity of multi-scale urban energy infrastructures. The PhD will explore how these models can represent spatial and temporal dependencies in systems, such as building energy demand, district
-
hydrodynamic models and 3D urban semantic models in collaboration with project partners, with applications to recent major flood events in Germany, Brazil, and Spain. Supervision & collaborations: The PhD will
-
06.10.2025 Application deadline: 10.11.2025 The following position is available at the Department of Linguistics of the Faculty of Humanities. PhD Researcher in Language Evolution / Computational
-
these to eventually support the design of future safety certification frameworks for the new generation of lifts. The PhD candidate will design and lead the research project under the academic supervision of Prof
-
We are offering a fully funded PhD position with a duration of four years for a motivated candidate eager to work at the intersection of cybersecurity, software engineering, and artificial
-
Council) PhD scholarships are funded via the ARC discovery project “Modelling, Design and Development of a Novel Wave-Energy Converter”. The purpose of these scholarships is to support outstanding students
-
-termWorking TypeHybridAvailable for SecondmentNoClosing Date10-Oct-2025 The Aminov Family-Gemini Untwined Scholarship, a 3-year PhD Studentship in Biomedical Engineering funded by the Gemini Untwined Charity
-
) Positions PhD Positions Country Germany Application Deadline 31 Oct 2025 - 23:59 (UTC) Type of Contract Temporary Job Status Full-time Hours Per Week 38 Offer Starting Date 1 Dec 2025 Is the job funded
-
fundamental methods research to guide in these analytical challenges. In this PhD-project, you will propose and evaluate new AI methodology to ensure that organoid data can be used to optimally predict relevant