-
of the developed cavitation model with acoustic radiation models, validating against experimental data. Required Qualifications A relevant educational background within Mathematics, Physics, or Engineering, with a
-
, Mathematics, Applied Mathematics, Mathematical Engineering, or related fields. Proficiency in programming languages such as Python, R, or other programming languages. Familiarity with multi-agent systems
-
The candidate should have experience with hydraulics, hydrology or urban drainage. Furthermore, excellent skills within mathematics, statistics, programming (Python, Matlab or other languages), and geographical
-
to begin the PhD study in connection with the Master study. Thus a prerequisite for acceptance is that the candidate is enrolled in a relevant Master’s programme, such as Mathematical Engineering. The
-
We seek PhD students that will contribute to new generations of scalable, model-based tools for cyber-physical systems based on a mathematical sound foundation, that enables trade-offs between
-
relevant Master’s programme, such as Signal processing, Machine learning, Statistics, Mathematics, Acoustics, or similar. The integrated stipend consists of two parts, A and B. During part A you are enrolled
-
science(e.g., mathematics, physics, computer science, etc.), a strong background in data science, statistics, or machine learning, and an interest in biomedicine. Alternatively, a candidate with a