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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description We are seeking
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materials and production methods for prosthetic devices. Design and execute experiments to optimize the manufacturing process. Collaborate with multidisciplinary teams to integrate technological advancements
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materials, especially under high-performance applications. Traditional methods for coating and stabilizing LFP cathodes often face limitations in durability and electrochemical efficiency. This research aims
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, renewable once Location: UM6P, Benguerir Campus Preferred Start Date: As soon as possible 1. Context and Objectives As part of the project "Redesign of extraction methods for improving phosphate quality", we
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Post-Doctoral Fellow specializing in Plant Phenotyping using Image Analysis. The successful candidate will conceive state-of-the-art imaging technologies and data analysis methods for high throughput
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activities, with specific responsibilities as outlined below: Conduct research on the development and application of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods
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(Postdoctoral Position) Availability: Immediate Required Level: PhD in Cell Biology, Biotechnology, Biochemistry, or a related field Main Responsibilities: We are seeking a motivated postdoctoral researcher to
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methods. Structural and Chemical Characterization using: X-ray Powder Diffraction (XRD) and Rietveld refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental
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, and mentoring graduate students. Key Responsibilities: Synthesis and Processing of novel Li-ion cathode materials using solid-state synthesis, sol-gel, co-precipitation, and hydrothermal methods