219 computer-science-data-wahrn-hous Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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an environment for interdisciplinary research. The research program of ACER is multidisciplinary, with faculty members from backgrounds in Chemistry, Chemical Engineering, and Environmental Engineering focusing
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(Department of Chemical Engineering, Waterloo Institute for Nanotechnology). Program Details: UM6P will be the administrative body for the program, where candidates will apply to the UM6P Postdoctoral Program
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) to identify and quantify the contributions of various emission sources to air pollution. Collaborate with researchers in atmospheric sciences, environmental policy, and data science to integrate findings
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sustainable urban development. Responsibilities: Research and Development: Conduct original research on NBS, including the design and implementation of field projects, data analysis, and publication of results
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Process Engineering Department (CBS) is a component of the Mohammed VI Polytechnic University (UM6P). The main objective of CBS is to set up a distinctive research-teaching program, of international level
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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Mohammed VI Polytechnic University (UM6P) - Chemical & Biochemical Sciences CBS Department and The Materials Science, Energy, and Nano-engineering (MSN) MSN Qualification Type: Chemical Engineer
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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have expertise in geometallurgy, applied geochemistry, and geo-environmental assessment, with advanced proficiency in integrating spatial data into 3D models using sophisticated interpolation techniques
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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required