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and image analysis. You are familiar with molecular biology techniques and working with multi-modal datasets. You are interested in integrating morphological, molecular, and genetic data to address
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transformational biological and biomedical discovery, and delivering cutting edge outputs where the generation and analysis of data play a key role? We are looking for a structural mass spectrometry (MS) scientist
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Low-Cost Sustainable Materials to Mitigate the Impact of Taste and Odour Compounds from Algal Blooms
compounds from water. This will involve setting up methods for the analysis of selected taste and odour compounds; characterising the properties of selected low-cost adsorbents (e.g. seaweed, sawdust and
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studies involving multi-modal MRI and PET data. Demonstrated experience in training and deploying deep learning models for image and/or data analysis projects is a highly desirable skill for this role
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Where to apply Website https://www.rfgi.es/ConvocatoriasPropiasFIMABIS/es/Convocatorias/VerConvocatori… Requirements Research FieldMedical sciences » Health sciencesEducation LevelBachelor Degree
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analysis pipelines and contribute to their development to enable reliable insights using heterogeneous data sources. You will work with sequencing data and corresponding metadata as well as with data from
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Sklodowska-Curie Doctoral Network linking 21 academic, cultural, and industrial partners to develop advanced nondestructive evaluation and data-driven digital tools for paintings and 3D artworks (https
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generation of a workforce skilled in all aspects concerning the generation of optical vortices with high power and high modal purity and its application as a key enabling technology widely in light-matter
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in all aspects concerning the generation of optical vortices with high power and high modal purity and its application as a key enabling technology widely in light-matter interaction aspects. Project
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in statistical methods appropriate for single-cell biological research, e.g., sparse data analysis, generative models, batch correction and multi-sample/-modal data integration, etc. Experience