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Field
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particular focus on the biosynthesis pathways of secondary plant metabolites (flavonoids). Your tasks will include: Applying controlled stress treatments Phenotyping stress responses with various sensors and
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to develop AI models for image reconstruction from data from our ultra-thin fibre-based spatial frequency domain imaging device (SFDI) and also from our custom-built photoplethysmography (PPG) sensor
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quality monitoring system. Potential applications will initially focus on drinking water distribution networks. The main sources of water pollution are relatively well documented in the literature
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in quantum clocks and sensors. The network offers international secondments, joint training events, and close interaction with an international cohort of doctoral fellows. The doctoral candidate will
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functionalities, studying their dispersibility, interaction with the matrix, and associated phenomena. Planned applications include sensors, optoelectronics, and security markers, with the goal of transferring
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multidisciplinary and multisectoral project? INTROS is the project for you! Find below more information. About INTROS The INTROS project, a Marie Skłodowska Curie Action Industrial Doctorate network (MSCA-DN-ID), is
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include: Applying controlled stress treatments Phenotyping stress responses with various sensors and gene expression studies in real-time PCR RNA sequencing and transcriptome analysis with corresponding
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(SFDI) and also from our custom-built photoplethysmography (PPG) sensor. Applicant should have experience in time-series processing with appropriate AI models (recurrent networks, LSTM) and experience in
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attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security
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networks could change the way we communicate, run apps in the cloud, and help scientific tools and sensors. To build such quantum networks, nodes based on solid-state emitters are promising contenders. One