181 software-formal-method-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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                candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models 
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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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                Postdoctoral researcher in Controlled-Release Fertilizers, Agronomy, Agricultural Sciences, and process development Job Qualifications: PhD in applied Chemistry, Materials Science, Chemical 
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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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                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 
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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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                systems including fault detection, diagnosis, and performance improvement methods. Mastery of dynamic reconfiguration approaches. Mastery of power converters. Mastery of software tools including MATLAB 
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                conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical