Sort by
Refine Your Search
-
tasks will be to: Develop numerical/analytical models to study interior fluid dynamics within rigid and flexible containers, e.g., liquid CO2 tanks and closed fish cages, and compare with experiments by
-
substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
-
engineering, dynamics and process regulation, process and facility planning, unit operations, heat transmission, fluid mechanics and applied thermodynamics. The Department enjoys very close relations with
-
substantial knowledge and research experience in areas such as computational fluid dynamics, turbulence modeling, data-driven methodologies, machine learning, and parallel computing. The candidate should also
-
research area: Python or C#, robotics, additive manufacturing, finite element analysis, or computational fluid dynamics. Experience in teaching and co-supervising thesis students at university level
-
background PhD in bioprocess modelling, chemical/biochemical engineering, computational modelling, or a closely related field (or ready to be defended in the following months). A track record of high-quality