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Field
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behavior research that is deeply embedded in both theory and practice. Our faculty combines our methodological expertise with a deep understanding of the challenges businesses face. As part of a business
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theory to unlock the efficiency of neuromorphic compute in multi-timescale processing. Job description Neuromorphic computing promises new energy efficiency records by taking inspiration from biology
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Help us pioneer gravitational wave probes of dark matter. Do you want to work at the interface of general relativity, cosmology, and data analysis, and help build the tools that will make dark
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significantly impact theory and practice! We offer a fully-funded, four-year Ph.D. position focused on collaboration in supply chain networks, leveraging quantitative methodologies using surveys, applied
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• Coalitional models for efficient sharing of joint energy infrastructure (such as a community heating network or community battery). This can use, e.g. techniques from coalition theory such as Shapley values
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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scientific colleagues and partners from professional practice worldwide. Under the guidance of a supervisor and together with a motivated team, you will work on meaningful solutions and contribute
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investigate how 3D printed clay systems—columns, claddings, and related architectural elements—can function as materially driven climate regulators, providing passive environmental comfort while also advancing
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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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ERC project FoRECAST, we aim to develop theory (e.g., new probabilistic and differential inference algorithms as well as proofs of their correctness and efficiency) and systems (e.g., high performance