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join the Grand Solution project 'DRONES: Drone-Obtained Electromagnetic Signatures' to exploore innovative approaches such as drone-based radio testing for large objects and EM signiture characterization
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. The objective is to develop models and algorithms that capture spatial variability, uncertainty, and communication constraints, and to understand how these factors influence perception, adaptation, and
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particular, the candidate will investigate enhancement of RL controllers in multi-agent settings and by incorporating optimization techniques such as multi-objective optimization. Overall, the candidate will
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entities, such as robots, vehicles, or sensors, forms internal representations of space, time, and motion when interacting in complex non-stationary environments. The objective is to study and develop models
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is to characterize indoor fungi physically, chemically and biologically to find ways to control and prevent their growth in biobased building materials. The position is full time for 2 years, starting
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“Entropy in materials design: Accelerated discovery of disordered solid electrolytes”, which focuses on developing computational predictions of disordered crystalline materials and applying these to discover
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment
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questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Further information Read more about our recruitment process here
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for the position. Do you have any questions? If you have any questions about the position, you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost. Interviews are expected