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other top universities and networks worldwide to become a truly global centre of knowledge. We are looking for a candidate who: Holds a Master degree (or will graduate before appointment date), ideally
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the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics its processing capabilities but also its adaptability, leveraging early
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identification of biological sounds using passive acoustic data. Passive acoustic monitoring will be conducted with species identification based on a neural network trained and tuned to the turbulent waters
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. Proficiency in geospatial, 3D, and image-processing software for data collection and analysis. Experience working with GIS, QField, total stations, geophysical equipment, and drones. Experience in stratigraphic
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. The research will employ a layer approach, assessing the biophysical underground, networks and infrastructure, and building layer, in relation to societal and technical aspects (e.g. energy communities). By
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-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful and readily applicable workflows for data-driven development
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in closed-loop catalyst optimization workflows. This position will be part of the Marie-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims
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principles, we work synergistically in teams, like to express and base our opinions on sound science and operate self-conscientiously in our networks to have impact, and to attract and serve our clients’ needs
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-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful and readily applicable workflows for data-driven development of stereoselective
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for reactivity and stereoselectivity. This position will be part of the Marie-Sklodowska-Curie Doctoral Network CATALOOP (https://www.tu-chemnitz.de/cataloop/ ). This network aims at the development of powerful