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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for
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Postdoctoral Fellows have access to KAUST’s exceptional research infrastructure, including one of the world’s fastest supercomputers, a full suite of advanced imaging facilities, a class 100 cleanroom for
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Professor in Applied Plasma Physics and Biointerface Engineering who has: a PhD or other research doctorate in a relevant field a strong track record of research including applied plasma physics and
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expertise. Demonstrates experience in digital pathology and image analysis. PhD in Cancer Research or similar. Familiarity with AI/ML concepts. Evidence of active participation in breast cancer research with
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self-select out of the process. If you think you can deliver this role then we want to hear from you, regardless of the boxes you did not tick. Whilst the role requires candidates to hold a PhD/DPhil (or
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. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD in Medical Image Processing, ultrasound/MRI/CT imaging, or a
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Description Here’s a Glimpse of the Job The Postdoctoral Research Associate performs research and development on laser spectroscopic ranging and imaging systems and writes scientific papers and proposals while
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Application deadline and process: Electronic submission to jagoda.litowczenko@amu.edu.pl Application deadline: 17.06.2025r. Required documents Application form/letter of the candidate (email); Curriculum Vitae
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processing, development of ML prediction tools Experience with PyTorch and/or TensorFlow, experience with databases and high-content imaging platforms Familiarity with generative modeling Experience with
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cytoskeletal proteins are used by disease-relevant organisms. We have access to excellent facilities such as the Central Oxford Structural and Molecular Imaging centre (COSMIC), as well as the Micron imaging