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Your Job: Should have an interest in working with existing data and shall have the ability to develop and implement concepts for novel and FAIR data structures based on existing field phenotyping
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Your Job: You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote
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Your Job: Analysis and integration of diverse biological data from the field of plant sciences (large scale genomic, transcriptomic, proteomic, metabolomic and/or single cell data) using cutting
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Your Job: Transient photoluminescence measurements of halide perovskite films, layer stacks and devices Simulations of transient photoluminescence and generation of training data Training of neural
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and evaluation will be based on the experimental data from this project. Your Tasks in Detail: Implementing a model of root architecture, AMF infection and hyphal growth through soil within
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up the functional-structural plant model for specific soil and pre-crop situations Parameterization of this model based on experimental data from the consortium, including root data from both
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in physics, physical chemistry, chemical engineering, or related field Knowledge and competences in physical theory and modelling Experience and interest in computer programming Basic knowledge
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data for system monitoring and control. We are currently seeking a PhD student for the following research topics: Data analysis considering uncertainties and related metrologial aspects Development
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% of a monthly salary as special payment („Christmas bonus“). Further information on doctoral degrees at Forschungszentrum Jülich including our other locations is available at: https://www.fz-juelich.de/gp
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for memristive circuit measurements and experimental data analysis interact with cross-disciplinary experts (e.g. neuroscientists and device physicists) Your Profile: Master’s degree in electrical/electronic