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About the FSTM The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Faculty of Science, Technology and Medicine
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Master/engineer degree in computer science, applied mathematics, data science with background in image processing, imaging inverse problems, deep learning and optimisation. Good coding skills for numerical
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Discrete geometric representations such as meshes are a crucial part of engineering simulation pipelines. The success and fidelity of numerical methods heavily depend on the accurate representation
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various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly
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. Required Skills and Candidate Profile The project is intended for a candidate with: ➢ Skills in medical image processing and deep learning adapted to clinical applications. ➢ A good knowledge of Python
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Single cell RNAseq and spatial transcriptomics for cancer immunology Position A bioinformatic engineer position is available in the Guermonprez lab at Institut Pasteur Paris (“Dendritic cells and
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friction models. Integrating Experimental Data: Collaborate with experimental teams to incorporate data from calcium imaging, confocal microscopy, and high-resolution video recordings. Use experimental data
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established expertise. In particular, this research work will build on breakthrough technology developed by the research team through the SequoIA startup initiative, currently in its prematuration phase
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computer science or a related field. General: Knowledge of hospital environments and the healthcare sector, as well as innovative technologies: AI algorithms, image and signal processing, segmentation, modeling
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neuroscience, biophysics, engineering, or related field. 2) Experience in one the following areas would be appreciated: in vivo electrophysiology, 2-photon imaging, optogenetics, microscopy. 3) Enthusiasm