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sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical
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procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mails subject. The folder must contain: Cover letter indicating the position applied
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investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of thermal energy storage. Showcase the ability to conduct independent research while
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(MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase
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of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase the ability to conduct independent research while demonstrating
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proficiency in Density Functional Theory (DFT) and/or Molecular Dynamics (MD) simulations, enabling the computational investigation of material properties, electronic structure, and atomic-scale behavior
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social
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the mechanisms of plant cell memory and stress priming. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and
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. Experience with data prediction and classification techniques. Computer Skills: Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software. Soft Skills: Analytical mindset
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction