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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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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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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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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
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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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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful
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computational modelling with experimental validation. The project involves developing time- and position-dependent models of electrochemical double layers, and parameter estimation methods incorporating
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appropriate to the scientific area or areas for which the competition is open. The candidate must also organize his/her Curriculum Vitae in such a way as to respond separately to each one of the criteria listed
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estimation, and learning-based prediction models that anticipate the future motion of vessels seen in the radar data, based on the radar data, local geography and historical patterns. The methods
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both methods by applying the formula defined above in IV.7. V.2.4. The notification of the draft’s final decision to the candidates, which contains the list with the proposed ordering of the successful