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to barley disease and pest resistance or other interesting traits. You will also assist in performing genome-wide association studies to identify genomic regions or candidate genes associated with disease
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(GGRU), USDA aimed to understand the grapevine response to environmental stresses like cold/freezing, drought, heat, and nutrient stresses. The research goal is to expedite research findings
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fellow will work with Dr. Yi Li and his research group to develop innovative statistical and computational methods for large-scale, high-dimensional, and complex biomedical data. Research topics include
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student training. The position also supports the overall research objectives of the University by maintaining high standards of scientific integrity, collaboration, and compliance with institutional and
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programming languages. Experience with DICOM data, medical-image registration, high-performance computing, or GPU-based computation. Familiarity with machine-learning or deep-learning methods for medical-image
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Details Title Postdoctoral Fellow - Computational Immunology & Translational Oncology School Wyss Institute for Biologically Inspired Engineering Department/Area Position Description About the Wyss
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datasets that benefit from high-performance computing (HPC). The objective of these fellowships is to facilitate cross-disciplinary, cross-location research through collaborative research on problems
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to modify food plants and enhance the use and performance of agricultural materials. Research Project: The ORISE participant will be a part of a collaborative research initiative focused on the processing and
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and organoid platforms, genome engineering technologies, advanced microscopy, spectral flow cytometry, single-cell and spatial genomics, proteomics and biomarker laboratories, and high-performance
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Deadline 13 Nov 2026 - 14:00 (UTC) Country Finland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job