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Field
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Biostatistics, Statistics, or a related field, strong computing/programming and communication skills, and a strong interest in omics and/or imaging data analysis are required. Experience in Bayesian high
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and/or SPECT instrumentation, as well as related physics and computing methodologies, and image-guided therapy applications. Assessment of applications will consider publication record, experience with
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models to evaluate therapeutic efficacy and pharmacokinetic profiles. Gaining exposure to cutting-edge transcriptomic, proteomic, and "imageomic" (high-content image informatics) datasets, as
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vision, controls, cyber-physical systems and their security, hardware security, and machine learning and their security. The work will include algorithm design, prototype implementation (e.g., in Matlab
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aspects of informatics and advanced data analysis. You will be responsible for Conceptualise and design experiments Undertake and drive a research project with view to publication Help supervise other lab
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an advantage Strong background in machine learning for image analysis and computer vision, ideally involving microscopy, time-lapse imaging, or other high-dimensional scientific imaging modalities
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living systems. The Leifer Lab studies how a biological neural network processes information, performs computation and generates actions. The lab is located within the Department of Physics and the
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, optimization, and characterization integrating imaging, experimental metadata, and diffraction outcomes. Design and deploy computer vision methods to detect and track crystal growth. Develop closed-loop
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year. Eligibility criteria Ph.D. in Biochemistry, Biology or related sciences, excellent research background. Experience in Immunology, FACS, FELASA animal experimentation preferred. Selection process As
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10 Jul 2026 Job Information Organisation/Company University College Cork Department HR Research Research Field Information science » Other Researcher Profile Recognised Researcher (R2) Positions