Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
correlated structural disorder controls transport and other functional properties in energy materials. The position is available from the 1st of February 2027 or as soon as possible thereafter. Project
-
recognition events to colonization strategies. Within this framework, the advertised postdoctoral project is specifically focused on complex data analyses of plants for improved symbiotic associations with soil
-
thereafter. Explaining complex AI models is a key challenge for ethically responsible AI. Explainable AI (XAI) research aims to provide relevant information to assist developers and users in analyzing AI
-
of the position is the development and application of finite element methods for modelling static strength and fatigue behaviour, as well as design and optimization of complex structures. You will work
-
duration of employment This is a 5-month position (30 hours/week) from 01 November 2026. Job description You will be contributing to the development of catalytic methods based on transition metal catalysis
-
improved numerical models to predict the complex interaction between turbulent flows and the environment, with an emphasis on energy systems. Our mission is to advance the scientific understanding
-
of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
-
published in international peer reviewed journals. Understanding of the atmosphere and its modelling is essential. • Model development of WRF-Chem is complex. Documented experience using FORTRAN, C
-
. The position is connected to the MAPP research centre. MAPP is a world-class interdisciplinary research centre at Aarhus University conducting social science research of highest quality. MAPP is dedicated
-
description The successful applicant will join our efforts to explore new types of nonthermal physics in strongly-correlated quantum systems. Such systems can display highly complex and unusual dynamics, and