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level (imaging). Computational methods are needed for data integration and for gaining deeper insights, e.g., into metabolic rewiring in neurodegenerative diseases. In this project we aim to 1. Further
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. The LCSB recruits talented scientists from various disciplines. Computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work
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research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. The SPARC group in SnT is pursuing research on the signal processing
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in applied machine learning, including but not limited to deep learning Interest in image analysis / computer vision and pattern recognition, including but not limited to biomedical applications, in
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the feasibility, practicality and success evaluation of prototype implementations. The team you will be working with: Mike Papadakis Yves Le Traon PhD Student Role: Under the direction of a professor, the candidate
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conduct fundamental and translational research in the field of Systems Biology and Biomedicine - in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially
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for at least 3 years using MATLAB and/or Python environment MATLAB - Expertise in Image Processing Toolbox for image enhancement, segmentation, and feature extraction is required. Experience App Designer
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(Python, MATLAB) Interest in applied machine learning, including but not limited to deep learning Interest in image analysis / computer vision and pattern recognition, including but not limited
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degree in computer science or related discipline Strong interest in applied machine learning, including but not limited to deep learning Strong interest in image analysis / computer vision and pattern
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cancer cells and knowledge and expertise in standard molecular biological methods such as tissue culture, qPCR, western blots, proliferation assays, imaging, immunofluorescence, FACS, etc. are necessary