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and spatial omics analyses performing quality control, preprocessing, integration, annotation, visualization, and downstream statistical analyses contributing to data management, workflow development
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, physics-informed control, and digital twin technologies. Project description The project focuses on the development of robotic methods for plant health monitoring that combine robot–plant interaction with
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causal inference with structural economic modelling. Subject area The subject area for this position is economics. Fields of specialization: Labour Economics – AI and the Economy; Econometrics – Structural
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equivalent to a PhD in Automatic control or electrical and electronics engineering or related subject. A doctoral degree awarded no more than three years before the application deadline provides a useful
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knowledge of cell and molecular biology techniques used to study cellular proliferation and invasion, including IHC, RT-qPCR, and Western blot. Experience in developing three-dimensional in vitro models and
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storage, and optics. From AI modelling of materials and biological complexity to the design of multifunctional micro- and nano systems, we combine theory, fabrication, and innovation to tackle challenges in
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areas is considered a strong merit: Aircraft design (concpetual design and performance evaluation) Propulsion systems (performance, and integration) Multidisciplinary modelling (combining engine
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We are looking for one postdoctoral researcher to join a research project centred around the theme of controlling photochemical reactivity under confinement. Our group, the Grommet Research Group
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, and sustainable agriculture. The project aims to identify elite strains of the yeast-like biocontrol fungus Aureobasidium pullulans for sustainable and environmentally safe control of grey mould
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practical parameterizations of identified distortions that can be used to model and correct for their effects on the data. Finally, the project will develop PSV master curves for Kerguelen and South Georgia