Sort by
Refine Your Search
-
Listed
-
Employer
-
Field
-
and application of methods for simulating magnetism, particularly atomistic and multiscale simulations. The successful candidate will have the opportunity to collaborate with leading experimental and
-
of the system is still insufficiently understood. This project investigates the underlying fluid-structure interaction mechanisms and develops advanced numerical methods for high-fidelity simulation
-
operational safety levels of track and vehicles. Here, the project will take a hybrid approach in combining physical simulations and data driven analyses (featuring AI/ML as well as ‘traditional’ statistical
-
. Plant science/ecology, especially related to forest ecosystems. Computer programming. Data analysis (machine learning, statistics, numerical analysis, time-series analysis, etc.). Quantitative methods in
-
record relative to career stage is considered a merit. Excellent written and spoken English skills are essential. Personal qualities will play an important role in the recruitment process. About us The
-
, simulation, manufacturing systems, 5G/6G, decision support and real industrial demonstrators. The overall ambition is to demonstrate significant reductions in costs arising from uncertainty, risk and variation
-
if the candidate has skills in programming languages (e.g. python, R), has experience in fieldwork and has a driving licence. In the recruitment process we will place great emphasis on the candidate’s
-
power. The work involves quantifying conflicts and synergies between different sustainability goals in the forest landscape using simulation and optimisation. The analysis will be based on spatially
-
cutting-edge research on structural vibrations, contact mechanics, wave propagation, and robot mechanics, from advanced modelling and simulation to large-scale experiments. In close collaboration with
-
) and transcripts. If the applicant is a foreign citizen, SLU requires a certified copy of the passport page disclosing personal data and photograph. Union representatives: https://internt.slu.se/en/my