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This postdoc position is for a specialist in the fabrication of silicon heterojunction solar cells to be integrated into monolithic silicon perovskite tandem solar cells. For this position, we
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Engineering & Applied Physics Program. This position covers AI hardware with a focus on quantum computing, quantum communication, quantum sensing, and quantum simulation. The successful candidate will develop
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the Mechanical Engineering Program. This position focuses on advanced mechanics frameworks that support the operation, efficiency, and resilience of materials and structural systems in modern energy applications
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Engineering Program. This position covers technologies that convert and utilize energy efficiently while enabling the transition to low-carbon energy systems. Relevant topics include hydrogen and ammonia energy
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Program. This position covers developing molecular, catalytic, and materials-based systems to address challenges in energy and sustainability. Specific areas include catalysis for clean energy and chemical
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the Mechanical Engineering Program. This position covers the applications of artificial intelligence and data-driven methods to understand, design, and optimize complex energy systems and devices. Example topics
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containment. The prohibitively high computational cost of such simulations necessitates the development of efficient and robust surrogate models for general GCS modeling tasks, especially when inverse modeling
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Application documents: 1) Brief cover letter, explaining your motivation for applying, 2) Detailed curriculum vitae (including your email address), 3) Complete transcript of grades from all your university-level studies. We do not ask for more information/documents at this point (but you can...
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This is a unified application form for all positions in the Beyesian Deep Learning group at KAUST led by Prof Maurizio Filippone, including Research Intern MS/PhD Student PhD Student Postdoctoral Fellow Research Scientist This lightweight form is intended as a first point of contact, and should...
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scale computing platforms and related subsystems. Experience troubleshooting complex hardware issues and documenting root cause analysis. Experience managing parallel storage systems (Lustre, GPFS, Weka