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Field
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histology, immunohistochemistry, in situ hybridization, organoid/tissue explant cultures, and live imaging. Analyze complex data, including bulk, single-cell, and spatial transcriptomics datasets. Present
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identify candidate proteins associated with the formation and development of infectious parasite stages. LCCL domains are found in proteins associated with developmental and structural processes in several
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national Scientific Society meetings. Minimum Education and/or Work Experience M.D. or PhD Required Qualifications M.D. or PhD Required Certificates/Credentials/Licenses N/A Computer Skills General office
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ultrafast and quantum-enhanced nano-spectroscopy with research in spatially resolved imaging of elementary processes in quantum, hybrid, and molecular materials. About us: Our interdisciplinary research group
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data and deep learning methods to assess canopy cover, quality, carbon stocks, and ecosystem services. Mandatory requirements: PhD in areas related to forest resources, remote sensing, data science, or
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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collaborative research in electromagnetic sensor systems, including theoretical analysis, numerical modeling, AI-assisted sensing algorithm development, and experimental validation Qualifications: An earned PhD
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-resolution imaging approaches Analysing data, publishing findings and presenting research to academic and project audiences What will you bring to the role? A PhD, or near completion, in a relevant scientific
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Summary The Department of Neurosurgery at the University at Buffalo seeks a full-time Postdoctoral Associate to support an interdisciplinary research program focused on image-guided navigation
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and economy that respect people and their environment. We are looking for our next postdoctoral researcher in computer graphics and machine learning to join the Image, Data and Signal (IDS) department