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choose to focus more strongly on either single-cell and perturbational data analysis or spatial data analysis, while also gaining exposure to the broader range of technologies. If you have a particular
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screening pipeline, from stem-cell engineering to data analysis Develop and test improvements in single-cell methods and vector design Apply the technology in steady-state and disease settings Analyse
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experiments. This will include image acquisition and analysis, as well as keeping up to date with new technological developments and applications in the field of two-photon imaging. In the remaining time, the
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feedback, survey results and exit insights to define targeted, data-informed improvement actions and supportive HR initiatives. Support organizational change and help leaders understand their impact on
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conditions, by bridging disciplines, from artificial intelligence, microelectronics, neuroengineering and nanoscience, to single-cell, imaging and molecular analysis, functional genomics and cell biology in
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gained to improve the sustainability of agriculture and the climate change resilience of crops. We are currently looking for an expert in Computer Vision, Image Analysis and AI to join our team. In
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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bioinformatics, computational biology, or related field. Strong experience with NGS data analysis and scripting (Python/R). Familiarity with immune repertoires, protein sequence analysis, and HPC
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Group Leader and Professor AI in Biology - Dept of Computer Science and Dept. Electrical Engineering
spatial multi-omics data; AI-based modeling of protein structure and protein interaction networks; AI-based modeling of cell morphology and tissue function using imaging and computer vision; AI models
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sequencing data generation and interpretation Bioinformatics and statistical analysis, to characterize genome evolution, mutation processes, and adaptation patterns The PhD candidate will progressively