22 knowledge-optimization Postdoctoral positions at Chalmers University of Technology
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designing, testing and optimizing such BY-kinase inhibitors. Who we are looking for The following requirements are mandatory: A Doctoral degree or equivalent in disciplines related to computational biology
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treatment and hot isostatic cracking) to minimize/avoid cracking and optimize microstructure and properties. You will be working with hands-on manufacturing, microstructure characterization using advanced
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solid theoretical foundation combined with extensive experimental verification, both in our laboratories and in the field. Our goal is to enhance the knowledge base related to electrical systems
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and collaboration, we explore the Universe, the Earth and the complex systems linking environment, energy and society – enabling knowledge-based solutions for a sustainable future. At the Division
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receptors for infection biomarkers, and optimize this technology for diagnosing infections in the wound settings. As a postdoctoral researcher, you will develop methods to functionalize graphene with a range
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Council (VR). The project is centered around inverse optimal control/inverse reinforcement learning, both for continuous-time and discrete-time systems. In particular, we are looking for a strong candidate
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, components, overall system performance) Numerical methods and simulation tools (e.g., Python/Matlab, CFD modelling, optimization) Beyond technical skills, we value people who contribute to a healthy and
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within a collaborative and dynamic environment. About us The Department of Chemistry and Chemical Engineering pushes the knowledge of chemistry and chemical engineering forward in a broad field of
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electrode materials, as well as expertise in electrode characterization for electrochemical synthesis. Our state-of-the-art analytical instruments help us to quickly screen and optimize electrochemical
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and predictive confidence, including sensitivity and identifiability analyses Compare grey-box models against purely mechanistic and purely data-driven approaches Optimize model performance