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, transport, or defense. On the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their
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the technical side, we aim at combining statistical latent variable models with deep learning algorithms to justify existing results and allow a better understanding of their performances and their limitations
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interest in living and working in the Middle East. The American University in Cairo is committed to equal opportunity and a diverse faculty. Job Requirements: A PhD is required at the time of appointment
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research work will be to devise efficient algorithms for source separation in DAS measurements. Issues such as large data volumes that can exceed 1 To per day and per fiber, instrument noise, complex nature
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. Its human size fosters close interaction between students and lecturers, creating a personal atmosphere. With 1,600 members of academic staff for 6,700+ students and 1,000+ PhD candidates, students feel
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: Curriculum Vitae Cover letter Writing sample (e.g., PhD thesis) Copies of diplomas Contact details of three academic referees Early application is highly encouraged, as the applications will be processed upon
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; Identify and address statistical needs of colleagues and clients in the Life Sciences field. Key Skills, Experience and Qualifications PhD / Master with statistics, biostatistics or epidemiological methods
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analyzed. The tensor model structure estimated by suitable optimization algorithms, such as that recently developed in [GOU20], will be considered as a starting point. • Exploiting data multimodality and
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of the biological bases of normal and pathological behaviors. Required Qualifications: PhD or equivalent experience in neuroscience, computer science, engineering or a related field. Proven experience in
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potential lends itself to this. Required profile: · With a PhD in physics or mechanical engineering, the successful candidate will have acquired solid skills in the mathematical and numerical methods