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to the application deadline*. You will need strong written and verbal communication skills in English A good track-record of publications You are expected to be somewhat accustomed to teaching, and to demonstrate good
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planning tool which models how autonomous agents make decisions in an uncertain world. This project focuses on designing systems of interaction between agents in order to achieve complex, multi-objective
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completed pedagogical training. Contract terms The position as Assistant Professor is part of the Mistra Environmental Research Leaders programme. This is a full-time tenure-track position, lasting for a
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RDKit. The following experience will strengthen your application: Knowledge in deep generative models, AI/ML, polymers, and/or materials science. A documented track record of research in the area of
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diagnostics, as well as general computer vision applications including autonomously guided vehicles (particularly self-driving cars), image-based localization, structure-from-motion, and object recognition
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, advanced electrolyte systems, and strategies for stabilizing metal anodes. We have a strong track record in developing innovative methods and extending characterization techniques to new applications and
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goal is to enhance grid reliability, stability, and resilience under evolving energy system conditions. Key objectives include: Identifying and quantifying the essential grid services required
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/containerization platforms (e.g., Kubernetes, OpenStack) Ability and motivation to carry out high-quality research and development Strong track record of publications in leading Q1 journals and top-tier
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the robot to improve over time by gathering knowledge about the diverse physical and geometric properties of objects and dynamic changes in the environment. This involves leveraging rich sensory data—such as