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Natural History. The researcher will develop deep learning models to predict individual bee age based on wing morphology. This model will be trained of existing wing images and applied to images of museum
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other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. This project is established in collaboration between LTU and
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and uncertainty mapping at satellite, airborne and drone levels. You will explore advanced retrieval techniques, including spatio-temporal regularization, and hybrid methods with machine learning and
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mission is directly tied to the humanity, dignity and inherent value of each employee, patient, community member and supporter. Our commitment to learning across our differences and similarities make us
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the long term. Is Your profile described below? Are you our future colleague? Apply now! Education PhD degree in remote sensing, preferably with a doctoral thesis on RTM inversion or deep learning in remote
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Description VIB.AI, the VIB Center for AI & Computational Biology, is a young research center dedicated to combining machine learning with in-depth knowledge of biological processes. Our mission is
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engineering Researcher Profile Recognised Researcher (R2) Positions PhD Positions Application Deadline 10 May 2026 - 00:00 (Europe/Brussels) Country Poland Type of Contract Temporary Job Status Full-time Hours
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: Publications and conference presentations in the field of auditory perception or a closely related area. Clinical audiology qualification (AuD) Required Qualifications: PhD in Speech-Language-Hearing Sciences
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that integrate multi-omics data to uncover mechanisms of disease, cellular resilience, and therapeutic response. The post holder will lead research applying large-scale machine learning and foundation models
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and publication of findings; write manuscripts for publication. Qualifications Ph.D. required, or M.D. with one or more years of research training required. About the Department To learn more about the