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. The fellowship candidate must hold a Ph.D. in Agricultural Engineering or related fields, with expertise in irrigation, remote sensing, image processing, and precision agriculture. Experience in programming
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. The project aims to validate and standardize use of advanced, minimally invasive imaging modalities as complementary tools to conventional necropsy for diagnosing lesions and determining causes of death
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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expertise in advanced immunology, histology, flow cytometry, confocal microscopy and image analysis techniques. Experience in different national and international laboratories is a positive aspect to be
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training. Experience must be demonstrated in zebrafish handling, maintenance, and genetic editing (CRISPR/Cas9), flow cytometry, cell sorting, and in vivo imaging, as well as in molecular cloning, qPCR, and
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, behavioral testing, molecular biology, immunohistochemistry, confocal microscopy, and image analysis. Fluency in English and strong scientific writing skills are essential. The fellowship offers a monthly