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of Gothenburg promotes equal opportunities, equality and diversity. We are seeking a highly motivated Associate Researcher (Data Scientist) with a strong background in computational image analysis, particularly
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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science
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systems uses data to improve their own performance, understanding, and to make accurate predictions and has a close connection to applications. Project description This PhD project focuses on advancing
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Description of the workplace The Diagnostic Radiology research group performs research related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary
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Your team SoftiMAX is a soft X-ray beamline focussed on spectro-microscopy and coherent imaging techniques, with 2 branch lines. The first branch delivers a nanoprobe beam for Scanning Transmission
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related to clinical imaging diagnostics. LUCI (Lund University breast Cancer Imaging) is an interdisciplinary group of scientists and medical professionals, mainly focused on innovative clinical imaging
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respect to battery performance, and study fundamental chemical processes and properties using both experimental and computational techniques. The research is, as such, both fundamental and applied. This PhD
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research, administration and technology and is led by Professor Anna Falk. Linked to the group is the preGMP facility, an infrastructure for process and assay development and clinical translation of cell and
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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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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