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Field
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Modern numerical simulation of spray break-up for gas turbine atomisation applications relies heavily upon the use of primary atomisation models, which predict drop size and position based upon
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, robust/distributed control, data-driven identification/control, numerical optimisation. Strong programming skills in at least two of the following: Julia, MATLAB, C/C++, Python. Demonstrated ability
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from 150 nations, located on the border where Switzerland, Germany, and France meet. A large number of institutions for biomedical research, with numerous possibilities for training, networking, and
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German courses). We highly welcome international applications. Scientifically, Berlin offers a rich landscape with numerous opportunities for research, as well as job prospects in academia and industry
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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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that values open science, reproducibility, and career development, and numerous training opportunities in transferable skills For this function, our Brussels Health Campus (Jette) will serve as your home base.
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, Mechanical, Electrical or a related field) Solid background in the energy domain, ideally with experience in various energy forms (electrical, thermal, etc.) Interest and skills in numerical modelling Fluency
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German courses). We highly welcome international applications. Scientifically, Berlin offers a rich landscape with numerous opportunities for research, as well as job prospects in academia and industry
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theories and numerical methods, carrying out and analysing field and remote sensing observations and conducting and analysing numerical model simulations. The PhD position is funded by the German Research
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ultracold gases or condensed matter systems. Experience with numerical simulations is expected, along with a high level of motivation and a genuine interest in fundamental research. About You To be suitable