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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
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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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novel quantum systems and algorithms, exploring qubit design, quantum error correction, and scalable computation architectures. The candidate is also expected to contribute to quantum simulation
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research partners. Support the supervision of PhD and MSc students.
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Position Summary The Graduate Program Student Advisor (GPSA) in the Biomedical Sciences Division oversees and manages the entire graduate student population, including both MS and PhD students
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. in computer science, computational science and engineering or any closely related discipline. A demonstrated relevant experience of minimum 4 year after PhD is required. Senior candidates (L5
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safety-oriented control algorithms. · Investigate thermal management, fire suppression, and propagation-mitigation strategies for safer battery module and pack design. · Prepare technical reports
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are especially interested in candidates with a PhD in Materials Science, Chemistry, Physics, Chemical Engineering, or a related field, and with a solid experimental background in organic semiconductors, polymer
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membrane performance. Therefore, this objective of this research is develop efficient algorithms and models based on deep learning to accelerate the physics simulation for membrane relevant processes, which
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two research scientists, eight PhD students and one MSc student are working on varying projects related to resources and risks associated with volcanism and hydrothermalism in the Arabian Peninsula and