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Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association | Dresden, Sachsen | Germany | 28 days ago
) # Develop and further improve multi-sensor and imaging-based measurement methods to capture key process variables in different zones of the flotation cell # Integrate and interpret data from different sensors
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines
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imaging technologies to pursue this work. Candidate: We are looking for a molecular cell biologist who has a Ph.D. in the field of regeneration biology, and postdoctoral experience with single cell spatial
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urgent inquiries regarding the status and location of missing files and digital images. Researching manual and computer records to locate and retrieve requested files and digital images for physicians
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Previous Job Job Title Research Professional 3 - Imaging Research Next Job Apply for Job Job ID 372779 Location Twin Cities Job Family Research Full/Part Time Full-Time Regular/Temporary Regular Job
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of tomorrow safer. Be part of change LLMs have gained significant attention recently due to their remarkable capabilities. A similar, yet less explored field focuses on text-to-image (T2I) model architectures
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@utwente.nl . Screening is part of the selection procedure Website for additional job details https://www.academictransfer.com/359871/ Work Location(s) Number of offers available1Company/InstituteUniversiteit
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. Experience with single-cell or functional omics data types and analysis workflows. Experience with spatial omics or imaging data formats and analysis. Familiarity with R. EDUCATION & EXPERIENCE (REQUIRED
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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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of instrumentation scientists , applied mathematicians, and computational scientists, and building worldwide collaborations aimed at tackling the challenges posed by terabyte and petabyte-scale imaging data processing