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Additional Information Eligibility criteria - a PhD in computer science - sound knowledge of energy metrics in distributed systems - knowledge of performance evaluation in Cloud environments - knowledge
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system involving end-users, data content distribution, computing services and their interactions with the edge-cloud infrastructure and data indexation system.- Experiment with such a system using the
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supervised by Prof. Dr. Jun Pang. For further information or inquiries, please contact Prof. Dr. Jun Pang directly. Your profile PhD in Computer Science or a related discipline, coupled with outstanding
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topics: Contribute to the HEXAPIC project Carry out research in the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal
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to the HEXAPIC project Carry out research in the predefined areas Disseminate results in top scientific venues Providing guidance to PhD and MSc students Participating in proposal writing Participating in teaching
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, research engineers), and around 140 PhD students, post-doctoral researchers and staff on fixed-term contracts. The Institute also welcomes several dozen interns and visiting scientists every year. The
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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clouds through star-forming regions to planetary systems. Laboratory simulations under astrophysically relevant conditions will provide key insights into asymmetric photochemistry and post-irradiation
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The candidate will have a PhD or equivalent degree in bioinformatics, biostatistics, computational biology, machine learning, or related subject areas Prior experience in large-scale data processing and
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of wave equations. Proficiency in numerical implementation and computational methods will be appreciated. Candidates with a PhD in semiclassical analysis who are keenly interested in numerical analysis