24 electrical-machine-"https:"-"https:"-"https:"-"https:"-"https:" Postdoctoral positions in Switzerland
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of cooperative effects in charge transport, proton dynamics and electrochemical conversion in solids and at electrochemical interfaces. Your tasks The research focuses on experimental investigations and theory
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PhD in one of these areas. Candidates should have an exceptional academic record, a strong background in machine learning, and a robust mathematical foundation. They are also expected to have strong
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only supports your professional development, but also actively contributes to positive change in society You can expect numerous benefits, such as public transport season tickets and car sharing, a wide
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anatomy of the central nervous system. The current line of enquiry is to engineer human B cells to express a B cell receptor of interest in a way that enables native-like class switch, somatic hypermutation
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the electrolyte exchange charge with solid booster materials held in the storage tanks, decoupling energy density from active-material solubility while preserving the modularity and safety of aqueous flow batteries
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and industrial project partners. You will be responsible for: Developing and adapting machine-learning approaches for structure-based and generative molecular design. Integrating physicochemical
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both the School of Computer and Communication Sciences and the School of Life Sciences, as well as the EPFL AI Center. We are recruiting a postdoctoral researcher with strong expertise in modern AI, in
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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Modelling (BIM), Geographic Information Systems (GIS) or computer programming is a plus. A master's degree or professional experience in architecture is preferred but not required. The employment rate varies
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datasets with multi-omics profiles of tumors from previous studies Developing new machine learning models through collaboration with the Swiss Data Science Centre Establishing data analysis pipelines