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Field
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Learning and Deep Learning libraries (e.g., Pytorch, Tensorflow) will be considered a significant advantage; Previous experience in image processing and\or computer vision will be considered an advantage
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- Digital Waters, and SAFIRE - Safeguarding Biodiversity through Interdisciplinary Research on Habitat Restoration- a Profi8 programme at the University of Oulu, funded by the Research Council Finland
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. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL instrument for
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of functionalized chips. Reporting: Communicate findings to project partners with diverse backgrounds (e.g., space systems engineering, astrobiology, microfluidics) to support the development of a prototype LMCOOL
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electron microscopy, advanced image analysis and programming (e.g., scripting in Digital Micrograph, Matlab/Python). This full-time position is available as early as fall 2025, for a period of one year with
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multiphysical loading regimes including hydraulic, thermal, and chemical processes. The direct applications of these research will be aimed at enhanced modeling of hydraulic fracturing and carbon sequestration
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of optics, imaging systems, digital holography, speckle metrology, Matlab and simulations, signal processing, the Fourier transform, machine learning, and classifiers such as SVM. Meriting qualifications
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analysis using the Digital Signal Processing (DSP) toolbox in MATLAB (including novel analyses), and data visualization via YAEL (Your Advanced Electrode Localizer). The successful candidate will also have
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At the Faculty of Medicine, Department of Health Science and Technology, a position as Postdoc in Medical Informatics and Image Analysis Group is open for appointment from November 1, 2025 or soon
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expanding healthcare sector with its demands for the most advanced technological solutions. DTU Health Tech’s expertise can be described through five overall research areas: Diagnostic Imaging, Digital Health