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endothelial immunomodulation in homeostasis, inflammation and tumorigenesis using in vivo genetic mouse models, advanced live and intravital imaging, engineered microchip models, primary cell co-culture systems
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the mechanisms and therapeutic potential of lymphatic endothelial immunomodulation in homeostasis, inflammation and tumorigenesis using in vivo genetic mouse models, advanced live and intravital imaging
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System-in-Package Fabrication (SiPFAB) is now looking for a Senior Process Engineer. System-in-Package Fabrication (SiPFAB ) is a new infrastructure being established at the Faculty
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of biophysical and photosynthetic traits of leaves and plants, both in laboratory and field conditions. In addition, you will contribute to the basic operation of OPL and the development of research infrastructure
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), Computational Biology (stochastic and analytical models of gene expression), Signal Processing (machine learning, image and signal processing), Biophysics, Microbiology and Single-cell Biology (flow cytometry
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. Demonstrated experience in machine learning–based image analysis / computer vision, preferably using microscopy data Strong programming skills in Python Additional background in AI and machine learning
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(linking phenotypes, imaging, cytometry, or other readouts to transcriptomics) Statistics / machine learning for biological inference (model validation, differential state testing, embeddings/classifiers
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, entrepreneurship and/or other activities supporting the applicant’s career development. Who we are looking for Requirements Doctoral degree in bioinformatics, biomedical engineering, computer science, image/signal
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to complying with the CoARA principles. Our application process is transparent, professional and international. We communicate openly with the applicants throughout the recruitment process. All appointment
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operation. To design optical metasurfaces and material platforms exhibiting time-varying responses. Using adjoint-based optimization and spatial structuring, to realize complex time-modulated medium dynamics