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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential feature and a
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23 Aug 2025 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Engineering » Biomedical engineering
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. For TUD diversity is an essential
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Senior Researcher in Synthetic Biology and Metabolic Engineering of power-to-X utilizing Microorg...
engineering, with a focus on non-model P2X-utilizing organisms. Apply synthetic biology and synthetic metabolism approaches to enhance microbial performance. Design and prototype novel bioprocesses based
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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into this environment are invited to apply. Experience in fields such as NPC, peroxisomes, DNA origami, IDPs, biophysics, single-molecule techniques, and optical imaging is welcomed. We foster diversity and female
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image sequences. As a benchmark, end-to-end deep learning models will be developed using raw image data. In parallel, shallow learning models (e.g., Gaussian processes) will be explored based on insights
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focused on mass spectrometry and development of new techniques for mass spectrometry imaging and single cell mass spectrometry to reveal chemical processes of importance to biological function and
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PhD candidates and researchers who work on enabling technologies (e.g., AI-based information conversion technology such as automated image/audio description). You will investigate the needs and wishes
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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