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Field
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Full-time Hours Per Week 40 Offer Starting Date 1 Jan 2026 Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a
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engineering, electrical engineering, computer science, biostatistics, or a related field. Experience in working with an MRI scanner. Experience in developing state-of-the-art Machine Learning algorithms
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such as computed tomography (CT) and x-ray phase contrast imaging (PCI). Perform laboratory duties such as setting up instruments, perform calibrations and acquire data. Participate in the development
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, and associated clinical outcomes. The fellow will be responsible for identifying computational approaches for data selection, processing, and predictions/inference. The expected outcome of the project
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the REVEAL project, in which vagus nerve implant patients will be stimulated with various settings, and corresponding responses will be collected across body systems. Multiple types of computational and
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a diverse team of biological and chemical scientists Experience with high performance computing environment (HPC) / cluster job submission Knowledge of statistical methods, data science algorithms
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for the design and development of numerical algorithms and analysis necessary for simulating and understanding complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section
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to vertical flow immunoassays. (VFI). Experience in liquid nanoprinting of VFI membranes and design of experiments algorithms to simulate accelerated shelf-life testing is required. Applicants should be detail
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devices related to vertical flow immunoassays. (VFI). Experience in liquid nanoprinting of VFI membranes and design of experiments algorithms to simulate accelerated shelf-life testing is required
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limited to artificial intelligence, computing theory (algorithms, complexity), data science, statistics, discrete mathematics (graph theory, combinatorics), game theory, machine learning, optimization