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Field
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• Highly motivated to carry out precision experiments and implement novel measurement methods • Strong initiative, effective working style • High level of creativity and drive to experiment intensely
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conservation practices": PhD student (f,m,div) in the Field of Geodata, Nitrogen and Soil Parameter Modelling Reference number: 18/2025/4 The salary will be based on qualification and research experience
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(required) German language skills are desirable Ability to work both independently and as part of a collaborative team High motivation for interdisciplinary research and experimental innovation Experience
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experience according to the wage agreement TV-L, up to pay scale 13, 65% of the regular working time. The conferral of a doctorate is possible at Rheinland-Pfälzische Technische Universität Kaiserslautern
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experience growing, managing, and phenotyping plants in the field and greenhouse. You have experience using modern approaches in root phenotyping, image analysis, or simulation modeling to understand
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of seismic methods and numerical simulations, Good PC and programming skills (e.g., with Python, MATLAB), Experience with measurement techniques and field measurements using sensor technology (ideally using
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degree or equivalent in a relevant area Good experience in molecular biology Good communication skills and good team spirit Ability to solve problems independently Fluent in English (spoken and written) We
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opportunities. Qualification profile Masters degree or equivalent in a relevant area Good experience in molecular biology Good communication skills and good team spirit Ability to solve problems independently
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/biomedical engineering or of relevant scientific field A solid background in machine learning Extensive experience with either computer vision or image analysis Good knowledge of deep learning packages
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, neuroscience, biomedical sciences, or a related field A keen interest in neurophysiology, epidemiology, and the neuroscience of neurological and psychiatric conditions Solid experience in experimental research