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for robot learning tailored to edge robotics. Validate and test these methods in both simulated and real robotic environments. Publish research findings in top-tier machine learning and robotics journals and
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-constrained robotic systems. The postdoc will have access to state-of-the-art computational resources. Key Responsibilities: Develop novel methods for robot learning tailored to edge robotics. Validate and test
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mining waste deposits (MATs). This project integrates mineralogical and mechanical characterization, pilot-scale testing, and advanced process simulation, with the objective of optimizing grinding
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. Description of the position: Develop and improve the best cropping practices under marginal and arid conditions Test, introduce and upscale new and alternative resilient crops Field preparation and
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samir.elhankari@um6p.ma The project requires the following skills : Familiar with catalytic tests for energy applications (water splitting, CO2 conversion, water splitting…) Able to monitor the obtained products
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discipline Prove ability to perform multidisciplinary research and contribute to funded research programs. Good English communication skills, both verbal and written are important. Duration & Compensation
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. Ability to work independently as well as collaboratively in a team environment. Criteria of the candidate PhD in the subject discipline Prove ability to perform multidisciplinary research and contribute
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of electrochemistry, membrane science, and environmental engineering. Main Responsibilities Design and operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes
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phosphate. Familiarity with principles of green chemistry and renewable resources. Ability to design and carry out flotation tests, including reagent optimization. Strong analytical and problem-solving skills
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testing, and advanced process simulation, with the objective of optimizing grinding performance and enhancing resource recovery. The ideal candidate will have a strong background in mineral processing