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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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for efficient quantification of spatial distribution in electron tomograms? Examples of work that you may conduct during your postdoc: Algorithm development and implementation (e.g. in C++). Machine learning
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the research and education has a unique breadth, with large activities in classical scientific computing areas such as mathematical modeling, development and analysis of algorithms, scientific software
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data for urban characterization. The work includes developing algorithms, performing large-scale analyses, and collaborating with partners across disciplines in remote sensing, urban studies, and climate
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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