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? To what extent and how do features of the collaborative process have to account for existing citizen initiatives? How can we integrate models of social influence and “diffusion on networks” with models
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new techniques in machine learning and work with large language models. You will collaborate closely with researchers at the Centre for Language Studies at the Faculty of Arts, who have expertise in
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in physics with a clear emphasis in theoretical particle physics. (This can be demonstrated, for example, by successfully having completed courses on quantum field theory and the Standard Model
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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, viscosity, and surface or interfacial tension. We will train a range of AI models to allow us to predict these properties from the chemical structure alone. Once established, we will expand the self-driving
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Your job Are you a highly motivated and enthusiastic individual with a strong background in process-based modeling, data analysis, and soil sciences? Do you want to participate in a large-scale
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such as model-based optimal control and nonlinear reset control. The goal is to push beyond commercial standards, achieving unprecedented sensitivity by overcoming mechanical and interferometric noise
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and cultural activities external link . We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest
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courses on quantum field theory and the Standard Model of particle physics.) Or you expect to obtain your Master’s degree around the starting date of the appointment. You are curious, communicative
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following: soft-robotics, compliant mechanisms, mechanical metamaterials, smart materials or related topics. Capability in computer drawing, modelling and simulating. Proficient in English reading and writing