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Field
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, you will collaborate with both clinical and preclinical researchers as well as experts from other research fields. You will have a central role in the project and work independently with: Statistical
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position within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? Spatially resolved genomics unlocks unprecedented insight into tissue architecture
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demonstrations of novel methods for temporal and spatial field manipulation and characterization, approaching quantum noise levels. The methods and associated components will have applications in the measurement
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and statistical analysis. Requirements PhD degree in population genomics, bioinformatics, applied statistics or a related area, or a foreign degree equivalent to a PhD degree in population genomics
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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LiDAR and UAV photogrammetry) with physiological and spectral indicators of forest health. The research will be conducted at multiple spatial scales, from single trees to landscapes, and integrated
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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Postdoctoral studies, employing Bioinformatic gene-expression analysis in Neurobiology (scholarship)
-profile papers, with national and international collaborations. The ideal candidates should hold a PhD in Bioinformatics, Computational Biology or a related field, with experience in omics data analysis
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learning, AI, or statistical modeling. Proven ability to handle large and complex datasets, including preprocessing and integration. Strong programming skills (e.g., Python, R, MATLAB, or similar
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, applied mathematics, or a closely related field, awarded no more than three years prior to the application deadline*. Documented research experience in machine learning, AI, or statistical modeling. Proven