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Field
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candidates must possess a PhD or equivalent degree in biochemistry, molecular biology, neuroscience, or a related field and be able to work independently with high self-motivation. Experience in imaging and
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engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities support the laboratory by providing
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/scalable processes. These excellent features turn bioinspired catechol-based materials unique for their use in coatings applications. Our society must change the water usage model, ensuring its purity
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single-element SNSPDs as well as kilopixel-scale imaging arrays which have high efficiency in the 2 – 16 µm wavelength range for applications in single-photon spectroscopy. The imaging arrays will be
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-read whole-genome sequencing data. Genome of Europe will operate in a federated analysis paradigm, with raw-datasets being held separately in different member states, hence the central opportunity
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interactions. Application of mineral amendment as an environmentally and economically sustainable method for soil organic matter increase will be explored. Cutting-edge in situ imaging techniques will be used
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Qualifications PhD degree in computer science, data science, or related fields. Effective written and verbal communication skills Robust machine learning and natural language processing skills Proficient computer
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, scATAC-seq), spatial transcriptomics and high-throughput imaging, thus a keen interest in learning single cell/spatial data analysis is critical. Your profile: You hold a PhD in Biology, (Bio)medical
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Image Analysis Group (DIAG) at Radboudumc. We develop, validate and deploy novel medical image analysis methods, usually based on the newest advances in machine learning with a focus on computer-aided
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based