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to request one if your application is successful. For further information, please visit the website: https://www.kmk.org/zab/central-office-for-foreign-education.html For further information
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part of the Forschungsverbund Berlin (https://www.fv-berlin.de/ ) and the Leibniz Association (https://www.leibniz-gemeinschaft.de ). You can find more details on the institute webpage: https://www.ikz
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, or spectroscopy Ability to work independently in a laboratory research environment Very good written and spoken English; basic knowledge of German is beneficial Prior experience in the following areas is considered
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is April 11, 2026. Please apply
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data analysis using software Experience in R and python is a plus but not mandatory Good presentation and writing skills Proactive, independent, and solution-oriented way of working Fluent English
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, Computational Biophysics, or a closely related field Strong programming skills (e.g., Python, C/C++) Knowledge of machine learning frameworks (e.g., PyTorch, TensorFlow) Very good English language skills, ability
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regulations. Further information on data protection and the processing of personal data can be found at: https://www.isas.de/en/datenschutz . The closing date for applications is March 25, 2026. Please apply
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, knowledge and skills include: Experience with plant work, preferentially Nicotiana benthamiana and/or grasses A good understanding of key concepts in plant–microbe interactions Our benefits: Excellent working
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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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, biogeochemistry or comparable studies good English speaking and writing skills good knowledge in plant and/or soil ecology basic understanding in chemistry and lab work comprehensive knowledge in statistics and