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to explore life at the molecular level. We build physical models of key biological processes and develop advanced measurement techniques to test these models in living cells. This project focuses
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) Theoretical knowledge and practical experience in artificial intelligence-driven techniques for image processing Excellent proficiency of oral and written English in a scientific context Meriting criteria
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looking for a doctoral student who will carry out research in data processing and image reconstruction for spectral x-ray computed tomography, with particular focus on deep-learning-based image
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biology and expertise with image processing. Requirements: - A doctoral degree within plant molecular, cell or developmental biology or equivalent. - Experience working with plants in the lab. - Experience
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and microscopy imaging to join our interdisciplinary team. The project contributes to the AlphaCell program and ongoing efforts with the Human Protein Atlas and other research groups at SciLifeLab
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://www.sljus.lu.se/pablo-villanueva-perez Work duties MAX IV is the first operational diffraction-limited storage ring in the world, offering new opportunities to develop novel X-ray imaging techniques that were not
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spectrometry. The project involves developing characterization methods using mass spectrometry (FT-ICR, TOF-SIMS) and imaging techniques (SEM, TEM) for both biological and inorganic materials. Responsibilities
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to a wide range of state-of-the-art imaging, metabolomics, genomics and screening facilities. Project Description Metastatic cancer of various cancer types is characterized by rapid progression and low 5
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. Experience with the following methods/techniques is also considered valuable: Isolation of immune cells from tissues and blood Tissue staining and imaging using confocal microscopy and image analysis Molecular
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team. Together you will ensure optimal operation of the beamline and its two end-stations ‘Diffraction’ and ‘Imaging’ for users and your own experiments. You will take an active role in running