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, imaging, and data processing. Activities will be mainly carried out at the BNIF platform, Building 50 of the Triolet campus, and will require strong autonomy, flexible organization, and a collaborative
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trapping of biomolecules or cells, biochemistry and, microfluidic buffer handling techniques (preferred but not strictly required). Strong quantitative skills (signal processing, rheology models, Python
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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based methods. As part of a
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a team More specifically: - For mission 1: knowledge of signal and image processing, machine learning (PyTorch or TensorFlow + NumPy/SciPy), statistical processing & data and results visualisation
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. Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation. Formulate high-quality research ideas and
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Hospital. The position focuses on advanced medical image analysis in musculoskeletal medicine, with opportunities to take on scientific leadership responsibilities. The AIO group is part of the Department
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and brain resident cells interact in this process. You will contribute to these research efforts by analysing spatial transcriptomics data from hundreds of brain tumours to establish the molecular
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, hardware setup, calibration and data collection. Maintain accurate experimental records and document results in a reproducible format. Process and analyse spectroscopic and imaging data using quantitative
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: analytical and forensic science; asthma and allergy; biophysics and cell biology; cancer; cardiovascular; nutrition and diabetes; genetics; infection and immunology; imaging and biomedical engineering