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-learning algorithms Versatile data-science knowledge, including image and DNA sequences processing Programming skills in Python or other modern programming languages supporting AI and bioinformatics
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on two core but complementary areas: Computer vision and sensor data analysis, applied to tasks such as object detection in drone images (e.g., pest or disease detection), object tracking (e.g. leaves
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phenotyping, including image analysis evaluations, for trait quantification Handle NGS datasets for RNAseq or SNP detection and linkage analysis using R Your qualifications and skills: You have a PhD or
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pathways for the required paradigm shift to sustainability. This position focuses on the initial work package in the project, to conduct statistical topic modelling on policy documents, ideally across
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field Several years of experience in the field of cartilage and cartilage repair Extensive experience in cell culture, cell imaging, and omics Experience with mesenchymal stem cells and chondrocytes
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of the presynaptic compartment. In the project genome engineering in stem cell-derived neurons will be combined with high-resolution imaging and systems biology/ proteomic approaches developed in the Haucke lab
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(Seoul National University, South Korea) genome engineering in stem cell-derived neurons will be combined with high-resolution imaging and systems biology/ proteomic approaches developed in the Haucke lab
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to the appropriate people. Please make sure to use only .pdf files, Word documents and images in .jpg format. Please also ensure to use short file names. Please read the document "Information on attachment naming
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pathways for the required paradigm shift to sustainability. This position focuses on the initial work package in the project, to conduct statistical topic modelling on policy documents, ideally across