Sort by
Refine Your Search
-
Employer
-
Field
-
physics and condensed matter theories to address the problem of fracture in complex materials. You will be working with experimental model systems and numerical simulations of materials that exhibit
-
% of all employees are internationals. In total, it has more than 600 students in its BSc and MSc programs, which are based on AAU's problem-based learning model. The department leverages its unique
-
are for different levels of decision-making. The position is for two years and will commence April 1, 2026, or soon thereafter. The position is within the research section Management and Modelling (MAMO
-
are for different levels of decision-making. The position is for two years and will commence April 1, 2026, or soon thereafter. The position is within the research section Management and Modelling (MAMO
-
create multi-fidelity predictive models that integrate data from quantum simulations and experiments, using techniques such as equivariant graph neural networks with tensor embeddings. We aim to train
-
for planning and executing experiments in climate chambers and in buildings. You will be responsible for carrying out dynamic building simulation models. You will be responsible for disseminating research
-
systems Strong skills in data-driven analysis and modelling, simulation, control, and validation Familiar with modeling of PtX and storage technologies, model predictive control, machine learning
-
the coastal region are largely unknown. SHORE aims to bridge this knowledge and competence gap and develop the first model capable of accurately simulating both on and offshore transport of sediments and
-
an open 2-year postdoc position in relation EUROfusion; specifically, on remote maintenance of fusion power plants. The project is on modelling and controller design for the transporter robot for extracting
-
calculations (such as with PHREEQC or a similar code). We are running several projects in parallel, ranging from fundamental investigations of mineral-water-gas properties, through developing predictive models