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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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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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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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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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. 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
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position within a Research Infrastructure? No Offer Description Project description Third-cycle subject: Applied Physics This PhD position is part of the project “Improved myopia control via peripheral image
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learning for image recognition. Moreover, you will develop methods and software that will allow new characterization of nanoscale materials. Therefore, your research will have great impact in academia and
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living cells. The project will involve experimental work with biophysics techniques, such as microscope operation and sample-labeling strategies. Microscopy-based assays and image analysis will be