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pipelines for image and data analysis techniques, maintaining software on shared high-performance computing infrastructure. Integration of functional, metabolic and structural imaging data across modalities
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machine learning models. Working with extremely large, multi-modal datasets. Prior experience in analysis of clinical health records, and time series data are highly preferred. Qualifications Requirements
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comparative analysis of peripheral indexes (including galvanic skin response, heart rate variability, and eye-tracking) against traditional surveys to identify points of convergence and divergence between
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project at the forefront of microscopy and bioimage analysis (https://www.msca-agile.eu/ ) and contribute to OMERO integration and optimization of Biom3d, a cutting-edge deep-learning framework for 3D image
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The LIT - Leibniz Institute for Immunotherapy (foundation under civil law) (https://lit.eu/ ) – is a biomedical research centre focusing on translational immunology in the fields of cancer
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Position Details Position Details Job Title Data Scientist Position Number 8150736 Work Modality Fully In-Person Is this request for the creation of a new Position (or the modification
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through multi-modal sensing, autonomous UAV platforms, and advanced AI-based analysis. A central focus is the detection of defects in bridges and viaducts using X-ray, LiDAR, visual and acoustic data
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limitations, particularly regarding spectral specificity and detectability in emerging imaging modalities. Spectral Photon-Counting CT (SPCCT) introduces major improvements, including enhanced spatial
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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