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Field
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LevelMaster Degree or equivalent Skills/Qualifications Master's degree in Environmental Sciences, Engineering, Geoinformatics or related fields Experience with Agent Based Modelling Programming skills (Python
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discipline boundaries and abstraction levels is a must. Experience with control theory and spiking neural networks are a plus. Ability for collaborative work, interdisciplinary and cross-topical thinking. Very
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Germany. Application deadline: September 15, 2025 Start of funding: April 01, 2026 Workplace Type: onsite Job type: full-time Duration: 3 years. Qualification/Skills and Experience The NHR Graduate School
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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laboratory PDF diffractometer, including the optimization of measurement protocols and combined mass spectrometry Experiments at synchrotron radiation facilities Analysis of powder X-ray diffraction (PXRD) and
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of degrading glyphosate. In particular, aerobic and anaerobic cultivation techniques will be used to enrich and isolate the target organisms. Subsequently, cultivation experiments will be used to unravel
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degree in a technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and
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technical field (mechanical engineering, mechatronics, robotics, electrical engineering, computer science, etc.) -Know-How from lectures in robotics (e.g. environment perception, path and behavior planning
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» Civil engineeringEducation LevelMaster Degree or equivalent Skills/Qualifications MSc. degree (or equivalent) in Civil Engineering, Structural Engineering, or related fields. Proven experience or great
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. Experiments in the laboratory complement the field approach. Requirements: For our project, we are looking for a highly motivated PhD student with a university degree (master or equivalent) in earth or natural