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- MOHAMMED VI POLYTECHNIC UNIVERSITY
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Field
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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datasets to uncover microbiome–host interactions Strong statistical skills in Python and/or R Experience with cloud computing and high-performance computing environments Ideal Candidate Profile We are
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, data analysis, and visualization environments/IDEs (e.g., R/R Studio, Python/Spyder/VSCode) Familiarity with GIS methods and cloud-based computing resources (e.g., Google Earth Engine) for large-scale
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. Experience building reproducible workflows and analytical pipelines, ideally using HPC or cloud computing environments. (For a full list of essential and desirable criteria please refer to the job
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with high-performance computing (Slurm/PBS or equivalent) and/or cloud computing platforms. Working knowledge of at least one of: GWAS, Mendelian randomization, fine-mapping, colocalization, polygenic
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ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data
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winds, land–atmosphere interactions, or aerosol–cloud interactions Strong experience in numerical modeling and high-performance computing • Experience applying AI/ML methods to model development, with
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-Performance Computing (HPC), scientific Artificial Intelligence (AI), and scientific edge computing. We are a leader in computational and computer science, with signature strengths in high-performance
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independence, good documentation habits and a track record of productive scientific results Preferred Qualifications Equipment Utilized High-performance computing; cloud computing; local workstations. Physical
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, multivariate methods, or comparative and phylogenetic analyses. · Experience using high-performance computing (HPC), cloud computing, or large-scale machine learning workflows. · Familiarity with open