177 parallel-and-distributed-computing-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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of biology and the effect of mutations. He/she would also be required to have a sound computational background, especially in the area of simulations. Criteria of the candidate: PhD in the field
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems
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supporting their academic and professional development. Qualifications and experience Essential (please indicate in cover letter): PhD. in Genomics, Bioinformatics/Computational Biology or equivalent
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letter): PhD. in Genomics, Bioinformatics/Computational Biology or equivalent. Proficiency in molecular biology laboratory techniques. Experience supported by scientific records related to development new
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all areas of Computer Systems. A successful post-doc candidate will work with a professor of the College. The position is open to individuals with a PhD degree from a recognized university and with
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. The position is open to individuals with a PhD degree from a recognized university and with substantial expertise in Computer Systems. Qualified candidates will be recruited according to their academic
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applications in real world data sets. We are also interested in exploring opportunities for parallelism of the completion process, highlighting the potential for significant speedup in computations. Job
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-economic environment in Morocco and Africa. HTMR provides highly automated and parallel approaches to the development of new materials and processes. HTMR allows scientists from all UM6P research community
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algorithms in the context of sparse tensor operations and apply them to real-world datasets. Parallel Computing: Explore opportunities for parallelism in the tensor completion process to enhance computational