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. Extensive experience in the development and application of finite element method (FEM) or comparable methods for AM applications. Preferred Qualifications: Demonstrated expertise in multi-physics simulations
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in advancing the clinical and commercial translation of a cutting-edge multimodal endoscopic platform. As part of the Label-free Bioimaging Laboratory, the successful candidate will contribute high
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translation of a cutting-edge multimodal endoscopic platform. As part of the Label-free Bioimaging Laboratory, the successful candidate will contribute high-quality research outputs, oversee the management of a
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imaging and spectroscopy. Experience with data analysis or the ability to perform basic biochemical work with proteins and DNA, e.g., fluorescence labelling, enzymatic reactions will be highly rated in
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. Knowledge of systems programming skills and concepts Experience with fundamental OS and storage concepts. Experience with programming heterogenous architecture. Preferred Qualifications: Experience with CUDA
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highly multidisciplinary environment that spans fundamental discovery through to patient care. Our researchers benefit from outstanding core facilities, including state-of-the-art label-free bioimaging
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computer architecture Parallel programming of HPC/AI accelerators (CUDA, OpenMP, SYCL, etc.) Salary Gross annual: €39,224 Application Deadline 07 October 2025, 12:00 (CET) via University of Trento
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aims to push the limits of label-free mass measurement of biomolecules in solution by integrating advanced optical techniques with state-of-the-art data analysis. Building on recent developments in mass
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++, Rust, or similar languages. CUDA experience is a plus. Passion for interdisciplinary research in an innovative and collaborative environment. Application Process: Submit your CV, cover letter, and
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to the clinic The post holder will be based in the Department of Biomedical Computing as part of the School of Biomedical Engineering & Imaging Sciences, King’s College London, a vibrant community of engineers