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- Universitat de Barcelona
- Fundació Hospital Universitari Vall d'Hebron- Institut de recerca
- Institute of Photonic Sciences
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studies, imaging techniques, biochemistry, gene expression analysis, experimental data analysis including multi-omics analyses, and the interpretation of statistical results. They will prepare integrated
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month postdoctoral contract to work in a multidisciplinary research project that combines photonics, neuroscience, molecular biology, in vitro and in vivo calcium imaging. The hosting group is led by Dr
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the development of custom algorithms for image or data processing, workflow automation and the interpretation of large volumes of information from optical, thermal or flow measurement systems. Participation in
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, X-ray optics, UHV technology, and electron-ion coincidence imaging techniques. We are currently looking for a Staff Scientist in Attosecond soft X-ray Science Key Responsibilities: Support and
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https://ppi.uib.cat/ Requirements Research FieldEngineering » Computer engineeringEducation LevelPhD or equivalent Skills/Qualifications A PhD Degree in Engineering or Mathematics. Specific Requirements
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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images, with predictive value Implementation of natural language processing tools for data structuring Development of prognostic models and prediction of results We aim to hire an experienced data
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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DNA/RNA high-throughput sequencing data analysis and image processing. We are looking for candidates that can expand the skills from the Unit towards proteomic and metabolomic data analyses. The Unit
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researcher will be responsible for performing statistical analysis of complex datasets derived from large-scale biological images, as well as proteomic and genomic data. The postdoctoral researcher will