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PhD in natural sciences in a subject relevant to SoftiMAX Demonstrated knowledge of, and hands on experience with, using (soft) X-ray imaging/spectroscopy techniques, preferably STXM and/or ptychography
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of >10 members, including a full-time senior PhD statistician and both clinical and full-time postdocs. Our projects typically leverage large sets of either registry-based, biomarker, genetic and/or
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profile PhD in Computer Science, Data Science, Machine Learning, or a related discipline. Proven experience in computer vision (e.g. image processing, deep learning, object detection, segmentation) and
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, data collection and image processing Experience in focussed ion-beam milling (FIBSEM) for for cryo-ET Experience in light/fluorescence microscopy and/or correlative light and electron microscopy (CLEM
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experiment and data modeling approaches. Required qualifications PhD in molecular biology, biotechnology, bioengineering, bioinformatics, chemistry or related fields. 3+ years hands on experience with high
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Research Infrastructure? No Offer Description Would you like to look into new sustainable materials and devices? Join us at Chalmers and the competence center FibRe to explore the power of X-ray imaging
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researcher will carry out research tasks in IMAG, within the ERC NEMESIS project team, led in IMAG by two principal investigators, Jérôme Droniou (CNRS) and Daniele Di Pietro (University of Montpellier
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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of the following areas: Image processing, partialdifferential equations, scientific computing, deep learning.•Solid programing skills. Knowledge of Python, Tensorflow/Pytorch, and Mathematica.•Fluent
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to the project, uniting experts in battery technology and acoustic signal processing and machine learning. The goal is to harness advanced data science techniques to establish a novel paradigm for online non