Sort by
Refine Your Search
-
to build and run advanced numerical models, carry out simulations and analyse results in a systematic and transparent way. Depending on ongoing projects, you may be involved in collaboration with industrial
-
The National Center of Excellence for Molecular Prediction of Inflammatory Bowel Disease (PREDICT), based at Department of Clinical Medicine, Aalborg University (AAU) in Copenhagen, is looking to recruit a talented researcher for a 3-year, full-time (37 hours per week) postdoc in bioinformatics...
-
machine learning to rich molecular data and uncover the molecular basis of IBD. The successful candidate will build prediction models from high-dimensional molecular measurements, with a particular focus on
-
in engineering applications. This includes working with hybrid approaches that combine advanced damage models with machine learning-enhanced numerical simulations, and exploring how these approaches
-
engineering parts. This position offers a unique opportunity to drive the development of system-level digital-twin and optimization methodologies—integrating electrolyzer models with renewable generation, power
-
research profile is clearly connected to thermal Modelling, and you can demonstrate experience with CFD modelling. You have solid skills in modelling and simulation using Tools and data processing and
-
dynamic models for simulation, analysis and control design, and you are motivated by developing and implementing model-based control solutions that must perform reliably in a real pilot-scale system. You
-
. The tasks include battery cell characterization and modelling based on laboratory tests, and development of algorithms for estimating the charge level, health, and power capability which includes robustness
-
in general. You are very well-versed working with data, models, statistics, simulations, and in general quantitative methods. Basic experience with programming (e.g. python) is a requirement, while
-
sensory testing (QST) as well as research based on animal models (e.g. rodents and pigs). CNAP is a dynamic and international research environment: approximately 60% of our staff is international, with a