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Field
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We are seeking a highly motivated candidate who has recently completed, or is close to completing, a PhD and has training in statistics, data processing, bioinformatics, or a related discipline, to
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well as access to sequencing facilities, high-end computer clusters, and an imaging and electron microscopy core facility. Research in our group covers diverse invertebrate lineages, with particular strengths in
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demanufacturing and advanced AI. Building on our infrastructure for product identification, computer vision, and lifecycle assessment, we will launch the REINFUSE project in 2026, a four-year Flanders Make SBO
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be part of a team led by Dr. Steiros (Imperial), and co-led by Prof Cal (Portland State - PS) and Prof Calaf (Utah University - UU). Multiple PhD students will also be employed in the project
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Electrical Engineering, Biomedical Engineering, Chemical Engineering, Optical Sciences or related field At least three publications in biomedical imaging, advanced signal processing, and/or nanotechnology
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, imaging, and 3D tissue model establishment will be essential to the role. Application Process If you would like to discuss this role, please contact Prof Eric O’Neill at eric.oneill@onccology.ox.ac.uk
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of observation, both in terms of acquisition speed and imaging depth, with applications ranging from biology to the study of nanomaterials. These developments sit at the crossroads of multiple disciplines
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and has training in statistics, data processing, bioinformatics, or a related discipline, to contribute to research on disorders of the brain. You will work with some degree of independence as a
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multiple organisations involved in the project develop and implement novel approaches for assessing soil health using remote sensing, integrating cutting-edge techniques to generate meaningful insights
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Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? Yes Offer Description Deadline for applications: 31/12/2025 Application process open