125 augmented-workers-using-smart-robats-in-manufacturing-cell PhD positions at DAAD in Germany
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compounds in Brassica vegetables and to understand the role of glucosinolate degradation for drought stress tolerance. Tasks include planning and conducting plant cultivation experiments under controlled
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employees are remunerated according to salary group E 13 TV-L) starting as soon as possible. The position comprises 65% of the full-time weekly hours and is limited to 3 years. The period of employment is
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Description Conducting research for a changing society: This is what drives us at Forschungszentrum Jülich. As a member of the Helmholtz Association, we aim to tackle the grand societal
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employees to advance science for society. Join us in breaking new ground and writing success stories –your own and those of our university. Support us as of now in part-time position (65 %) as a Doctoral
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well as research allowances) for max. 48 months. International applicants who have not been living in Germany for more than 15 months can apply. At the time of the application, the last final exam (Master's Degree
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that exhibit emergent turbulent behaviors, and (2) disordered optical media that process information through complex light scattering patterns. Using advanced imaging, machine learning techniques, and real-time
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learning and data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms
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detailed structural, magnetic and spectroscopic characterization, in particular using electron paramagnetic resonance (EPR). The project will be in collaboration with a team in the physics department
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) (subject to personal qualifications employees are remunerated according to salary group E 13 TV-L) starting October 1, 2025. The position is limited until June 30, 2029. The period of employment is governed
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reactive agents and biofilms, which are anticipated to play a key role in climate preparedness in water resource management. If you want to advance computational hydraulics while tackling an urgent