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endowment in excess of $3.5 billion. Job Description Postdoctoral Research Fellow - Computer Science FTE Range $65,000 - $74,665 based on experience This postdoctoral position is to work with Prof. Aaron
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bioengineering. With competitive salaries and fully funded research expenses, you can dedicate yourself to groundbreaking research that aligns with Genentech’s strategic ambitions. The postdoc program is designed
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the research in combining AI techniques with formal methods techniques (especially program synthesis) to improve the explainability and robustness of AI models Participating in co-operation with Continental’s
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 months ago
of the key disciplines necessary to help us design, build, regulate and secure the future. CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new
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FEA Simulation and Computational fluid dynamics SLS, SLM, FDM, PBF and DED 3D printing experiment Monitoring and Inspection of AM Optimization and control to improve quality of polymer and metallic
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that will define the CNRE. CNRE research is both computational and experimental; we work on exciting problems in diverse areas such as bio-fluid interactions, signatures, wave energy, advanced materials
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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The School of Materials Science and Engineering (MSE) provides a vibrant and nurturing environment for staff and students to carry out inter-disciplinary research in key areas such as Computational
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, faster, longer? Future of Healthful Work – a large scale interdisciplinary program we’re leading asks the question “what if work were healthful from the outset, rather than being something from which we
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heat and mass transfer, thermal comfort, and computational fluid dynamics (CFD). These skills will be applied to design, evaluate, and optimise strategies that enable the effective implementation of MMV