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aimed at developing novel Artificial Intelligence–based methods and software to assist physicians with: Disease classification Treatment decision support What-if analyses. Although the developed methods
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to a senior position, design, organization of work, planning and conducting of experiments for VZ1, publication of scientific results, development and implementation of new innovative methods
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studies and interactive AI systems. This position will be funded based on an initial 2-year contract + 2 years extension. The key idea is to apply theories, models, and methods from psychology to improve
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training network and aims to apply mathematical modelling methods to study adrenal gland steroid biosynthesis dynamics and their spatial relationship with adrenal tumours found in Primary aldosteronism (PA
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English. The PhD must have involved numerical modelling. It is desirable to have documented knowledge from their university education in: Mathematics, especially differential equations. Numerical methods
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Methods This large-scale project supports the conservation of UNESCO Heritage Sites (https://whc.unesco.org/en/list/), Biosphere reserves and/or GeoParks by analysing global and local geohazard databases
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- Fundamental of computational fluid dynamics, and experience with CFD software - Methods for design & optimisation - Computer assisted design and prototyping, - Experience with
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their university education in: Mathematics, especially differential equations. Numerical methods and/or computer programming. Cloud physicsIt will be advantageous if the applicant is experienced with modeling
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potential requires deeper insight into battery design, behavior, aging, safety, and efficiency. This PhD project develops advanced methods for battery pack design and optimization in electric powertrains
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mathematics leading to computationally fast methods State-of-X (where X is charge, health and/or function) estimation at the pack level. This requires developing computationally efficient algorithms for state