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to conduct independent research with a strong publication record. Excellent organizational skills and the ability to work collaboratively in a team. High degree of motivation, initiative, and a focus on
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existing concepts, and develop novel solutions. Excellent communication, teamwork, and interpersonal skills, with the ability to work effectively in multidisciplinary environments. Willingness to travel
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. Proficiency in programming languages and computational software’s. Strong motivation and passion for research in the field of sustainable materials and materials science. Excellent problem-solving skills and
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area Experience with biomass conversion and valorization processes is required Knowledge in fertilizer science and technology is highly recommended Excellent communication skills, in English and French
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contribute significantly to advancing the department's research initiatives and supporting mission of research excellence and innovation. Key Responsibilities: Design and conduct research projects in inorganic
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interpretation of agronomic data. Excellent problem-solving skills, creativity, scientific rigor, and ability to work independently as well as collaboratively in a multidisciplinary team environment. Good
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postdoctoral research staff member with expertise in fertilizer dissolution and diffusion experiments. The successful candidate will contribute to our institution's commitment to excellence in research and
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for this role, you will ideally have: Ph.D. degree in physical chemical and analytical chemistry, chemistry, polymer science, materials science and engineering or related areas. Excellent organizational skills
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the dynamics of fertilizers in soils. The successful candidate will contribute to our institution's commitment to excellence in research and innovation in fertilizer experiments. The candidate will study the
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and conduct experiments, analyze data, and publish results. Excellent written and verbal communication skills. Strong organizational and time management skills, with the ability to prioritize multiple