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the imec-Vision Lab (image reconstruction, processing, and analysis), the Bio-Imaging Lab (preclinical neuro-MRI), and the Laboratory of Cell Biology and Histology (cell biology and advanced microscopy
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Sintorn, Professor in digital image processing, at the Department of Information Technology and conducted alongside researchers developing computational methods with a particular focus on deep learning and
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developed through large programmes of research. You will aim to develop and validate a computational testing process, which can include patient variability for the biomechanical assessment of fusion devices
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and imaging diagnostics. The degree of resolution – already at single-cell level – will continue to increase in all disciplines of life sciences, and the need to process and combine huge data sets
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experience with X-ray methods and imaging Have preferably some additional experience in the biomedical domain and/or in image processing Have preferably some experience using ML models and tools (e.g
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isolation and culture lung cell populations Common techniques in biochemistry, cellular and molecular biology Bulk and single cell genomics and analysis Tissue processing and staining Cell/tissue imaging
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to biological data sets such as omics data, protein structure prediction, or biomedical imaging. Technical experience in programming (Python preferred), and/or machine learning is a plus—not a requirement. We
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environment with wide-ranging expertise spanning data-driven imaging, clinical science, molecular biology, bioinformatics, and biomedical engineering, all working together to improve atherosclerotic and
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Development of image- and signal-processing software for single-molecule microscopy and spectroscopy data Analysis of single-molecule microscopy data in collaboration with theorists from other institutions Your
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modulating brain activity. Briefly, Focused Ultrasound has recently emerged as a ground-breaking new non-invasive, image-guided therapy to treat Essential Tremor (ET) and Parkinson’s Disease (PD). While it is