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. Job requirements We are a looking for a strong PhD candidate who is excited to work in the area of dynamic flow networks. Key characteristics of an ideal candidate include: A MSc degree in mathematics
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you like to work at the interface of uncertainty quantification (UQ) and differential equations, where probability theory meets real-world applications in the framework of dynamical systems? Then, you
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of dynamics and control for engineering systems? Are you able to further valorise such research in industry and society and willing to contribute to the existing BSc program Mechanical Engineering and the MSc
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of semantic city model development, integration of knowledge graphs and other needed database systems, as well as enabling the integration with simulation models. Your main role is to develop this interactive
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production losses. The dynamics in the hearth involve the tapping cycle, the charge rate and control of particle size and dissolution and refreshment of the cokes all influence the liquid iron flow patterns
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-speaking people with dementia), Strong organization & communication skills: proactive, well-organized, communicative, team player. Conditions of employment A meaningful job in a dynamic and ambitious
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the samples. Within the project, this position focuses on the modelling and simulation of the nanotube-based profiling, whereas the other two work on the control and experimental part of the project. Job
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Irène Curie Fellowship No Department(s) Mechanical Engineering Institutes and others EAISI - Eindhoven Artificial Intelligence Systems Institute, Institute for Complex Molecular Systems Reference
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mixed-signal designs, devices, and general knowledge of semiconductor physics, modeling, and electronic system design. Knows circuit simulation and VLSI design (spice, cadence, Synopsys tools). Experience
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. Developing learning strategies capable of learning from auxiliary simulated data for real-life applications. Collaborating on ongoing research projects that aim to implement radar-based perception methods