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develop processes for the purification of hydrogen obtained from diol-based carrier molecules and to evaluate possibilities for the use of electrochemical compression processes. In this PostDoc position you
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(Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic connections in
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information theory (Shannon entropy, compressibility, effective complexity and logical depth). The data basis for the analyses are two-fold: first, recent connectome data, i. e. large datasets of all synaptic
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that includes. Job description: We are seeking an information theorist with an academic background in mathematics or bioinformatics and a specialization in information theory (Shannon entropy, compressibility
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tackle the complex challenges of our time. What you will do Experimental investigations in the field of failure analysis, such as: Light microscopy Scanning electron microscopy Tensile and compression
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manufactured at Uppsala University) will be the focus of this PhD project. The objectives of this work are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Applied Machine Learning (AML) group is part of the Department for Artificial
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EU MSCA doctoral (PhD) position in Materials Engineering with focus on mechanistic study of biodegra
are to optimize an experimental setup for simultaneous tension/compression testing and localized corrosion measurements, including monitoring of local pH and dissolved hydrogen and oxygen concentrations
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optical communication networks and systems, as well as machine learning, computer vision and compressing digital videos. The Sustainable and Modular Networks (SMN) working group operates in an international
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and training your own AI-based models for image segmentation or image compression, as demonstrated by Git repositories Experience in supervising students and young scientists Good knowledge of materials