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Field
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-of-the-art data management, machine learning and statistics techniques. With the advancement of Exascale systems and the variety of novel AI hardware designed to accelerate both training and inference
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, tape-out, and testing, preferably with applications to AI systems ● Design, analysis, and modeling of AI hardware such as deep neural network accelerators or neuromorphic computing. ● Emerging AI
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at the interface of hardware and software for world-leading observatories, and collaborate with international teams of scientists and engineers - then welcome to the team! Our ground-based astronomical
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ligand libraries, bioinformatics analysis workflows, and hardware and software support. The incumbent works closely with the BSBC Director and interacts routinely with UNMC investigators and other
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following scientific areas: computer modelling, fabrication, and testing of flight hardware, as well as project management. FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE
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or hardware acceleration for omics technologies - Systems, molecular, or metabolic engineering - Translational and precision medicine Projects will be tailored to each scholar’s background, interests, and
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selection and switching in real time Integrate surrogate models with physics-based solvers, e.g. SOFA, FEniCSx, SOniCS, and clinical or phantom data Deploy models on ARSPECTRA hardware, including optimisation
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or other space-system safety standards Experience with simulation, Software-in-the-Loop, or Hardware-in-the-Loop testing Experience integrating AI methods with control, estimation, or autonomy frameworks
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Learning and parameterised quantum circuits. Analysis of multi-omic data for the identification of therapeutic targets. Migration of algorithms from classical simulators to IBM quantum hardware
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with hardware control and research data analysis Familiarity with fabrication methods such as 3D printing, CNC machining, laser cutting, or related prototyping techniques Experience with component or