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and papers Very good knowledge of and experience with MS office, graphic programs, statistical software, bioinformatics tools and online tools (e.g. Illustrator, Lightroom, GraphPadPrism, R) Highly
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the expansion of renewable energy production through fundamental research in atmospheric physics, and you will gain an international network through the partners for prospects of a career in industry and/or
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, including transient absorption and time-resolved fluorescence Application of 2D Electronic Spectroscopy to selected molecules Development, training, and application of the Deep Neural Network (DNN
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multidisciplinary research program on “N-heteropolycycles as functional materials”. The program offers a dynamic and interdisciplinary working environment, invited talks, networking events with other PhD students and
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We offer Exciting research on forward-looking topics with direct translational relevance Modern laboratory equipment and innovative technologies Interdisciplinary and networked collaboration with