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, both written and verbal Knowledge of German and/or a willingness to learn Computer/programming literacy, for example in R, and/or software used in image processing (Adobe Photoshop, ImageJ etc.) Ability
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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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of computer science or using computer vision methods Excellent knowledge of the development and implementation of methods in the field of digitization, artificial intelligence, machine learning and/or 2D/3D imaging and
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. The letters will then be added to your application in our system and forwarded to the appropriate persons. Please ensure that you only use .pdf files, Word documents and images in .jpg format. Please also
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in the project, including experts in genetics, genomics, rhizosphere biology, and shoot biology to use a whole-plant-systems approach. Your tasks: Root anatomical phenotyping using imaging and
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complex databases of global beach attributes Formulate conceptual models of subterranean estuaries (STEs) in beaches Use AI-based image recognition techniques to automatically classify results from
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if they are suitable (please enclose proof). Please send your application with CV, copies of certificates and proof of qualifications as a PDF document (one PDF file, max. 5 MB; compressed PDF documents, archive files
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imaging Expertise in the field of osteoimmunology Experience in the field of (spectral) flow cytometry Experience with imaging techniques such as confocal laser scanning microscopy Experience in cell
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characterization), cell biology (immortalized and primary cell culture and targeted delivery), peptide/nucleotide conjugation and microscopic imaging (fluorescent confocal spinning disc, widefield and super
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for their relevance in alpha- and flavivirus replication. Methods include but are not limited to: molecular cloning, cell culture, qRT PCR assays, co-IP-WB, imaging and RNAi experiments. We expect at least 10 months of