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Conventional metal mining, in which minerals are physically extracted from the subsurface and then processed to recover target metals (which often make up only a small fraction of the total mass) is
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opportunity to apply and integrate advanced image processing techniques to progress the fields of biomedical and life sciences. Working within a team of biologists, physicists and engineers, the specialist will
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machine learning and experimental design optimisation. Training and Career Development You will gain interdisciplinary skills in machine learning, medical image analysis, and coating design. As a PhD
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are: nanotechnology, spintronics, opto-electronics, renewable power, integrated electrical/biological/optical circuits and systems, image processing and analysis, embedded DSP, digital design, logic synthesis, computer
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arsham.hamidi@unibas.ch (Subject: Tech-CIO-25106). Where to apply Website https://academicpositions.com/ad/university-of-basel/2025/100-phd-for-center-of… Requirements Research FieldComputer scienceYears
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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 development of associated sensing and estimation algorithms Path planning based on medical imaging data (e.g., MRI, CT, angiography) Development of AI-based control methods for continuum robots
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of Geo-information Science and Remote Sensing. Where to apply Website https://www.academictransfer.com/en/jobs/357372/assistant-professor-in-remote-s… Requirements Specific Requirements You are/have A PhD
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Resonance Imaging (MRI). This post also be linked to research activities linked to the University’s research platforms such as the UNNC Sir Peter Mansfield MRI Centre. Candidates must have a PhD degree in the
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proposed research field (e.g. Environmental Sciences, Applied Mathematics, or Statistics). Good working skills on either image analysis, advanced data processing (e.g. neural network, clustering