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Field
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range of downstream tasks. Candidates will be requested to develop novel methodologies within the artificial intelligence framework for effectively and efficiently process image time series for semantic
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HBIGS Heidelberg Biosciences International Graduate School | Heidelberg, Baden W rttemberg | Germany | 8 days ago
criteria Significant experience with confocal microscopy, and (plant) molecular biology. Selection process Please check out all the cool research projects in high resolution plant imaging of the nucleus and
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image processing and physics-informed machine learning? Would you like to work together with competent and friendly colleagues in an international environment? Are you seeking an employer that offers safe
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areas: AI/ML, image processing, molecular modeling and docking Strong experience in Python and C++ programming (knowledge of Fortran is a plus) Strong interest in interdisciplinary research bridging
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imaging methodologies, biological sample preparation, vacuum technology, laser operation and optics, and electrical and mechanical engineering. Furthermore, you are expected to present your work in
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AGILE – Advanced Plant Chromatin & Imaging Research starting in September 2026, offering an exciting opportunity for PhD candidate to contribute to collaborative project goals. If you are interested in
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.; Burghammer, M.; Lyonnard, S.; Oukassi, S. Operando Imaging of Crystal Structure and Orientation in All Components of All-Solid-State-Batteries. arXiv February 5, 2025. https://doi.org/10.48550/arXiv.2502.03063
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areas: AI/ML, image processing, molecular modeling and docking ‒ Strong experience in Python and C++ programming (knowledge of Fortran is a plus) ‒ Strong interest in interdisciplinary research bridging
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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 May 16, 2026. Please apply
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the law of the processing performed on the grounds of consent given before withdrawal thereof. Providing personal information is voluntary. More information on the protection of personal data: https