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informed of the outcome of the selection process following the final stage. Additional comments About the QuanG2 PhD Call This PhD position is offered as part of the QuanG2 PhD Call for Applications, a
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31st October 2026 Languages English English English PhD Candidate in Quantifying the Benefits of Wayside Detection for Railway Infrastructure Apply for this job See advertisement This is NTNU NTNU
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on the PhD projects you marked to be interested in. This will enable to make a final selection of your project in mutual consultation. Visit our website for more information about the application process or
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8 Sep 2026 Job Information Organisation/Company Newcastle University Department Biosciences institute Research Field Neurosciences Researcher Profile First Stage Researcher (R1) Positions PhD
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funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The PhD student will join the
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the experimental setup, synchronising the cameras, optimising the illumination, and developing image-processing methods to extract propagation pathways and velocities. Several plant species and different branching
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machine learning and physics to recover nanoscale information from imperfect images? Modern computer chips are built with features only a few nanometers across, yet manufacturers need to measure these
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to modern medicine, and bacteriophage therapy is a promising route to treat drug-resistant infections. Yet phage therapy can fail when bacteria evolve resistance or deploy defence systems that block
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PhD in Computational Imaging for High-Throughput Applications (1.0 fte) As a PhD student, you will be embedded in the research group Computational Imaging and Deep Learning (CIDL), part of
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PhD Scholarship in Multimodal Federated Learning and Medical Image Analysis Job No.: 695949 Location: Clayton campus Employment Type: Full-time Duration: 3-year and 3-month fixed-term appointment