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Life Science (DDLS), coordinated by SciLifeLab, aims to recruit and train the next-generation of data-driven life scientists and to create globally leading computational and data science capabilities in
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Would you like to be part of our team and help shape the future of product- and production development? If so, you might be the one we’re looking for. The department of Product Development
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development and characterization of functional porous materials. Project description The project aims to develop new nanocomposites of cellulose and porous organic materials (POMs) with tailored structures and
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to societal development. Here, teachers, researchers, and other employees with various competencies work together to conduct high-quality education and research. All professional categories and roles
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optimization, AI, power electronics with good publication record· Good at coding in python with different DRL algorithms training, or good at digital platform development will be a preference Knowledge of
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control technology and computer algorithms to develop a foundational discovery platform for future cell programming applications. This position involves both experimental and computational work
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revolution in the field of legged robotics and their successful custom deployment in various applications. Project overview The aim of this project is to develop a software framework for AI based Holistic Co
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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properties. In this project, we will apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and
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apply machine learning and optimization algorithms in order to achieve the design of such nanophotonic structures. As a postdoc you will be part of the Condensed Matter and Materials Theory division, a