34 bayesian-inference-tracking Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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effectively within interdisciplinary teams and collaborate with national and international partners. Excellent communication skills in English and French, both written and verbal. A track record of publication
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, … Ability to maintain high standards while meeting deadlines. Strong proficiency in both English and French. Demonstrated track record of publishing in high-impact scientific peer-reviewed journals
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and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary and multicultural team. Candidature submission
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laboratory. Excellent communication skills (oral and written) in English. Good publication track record in peer-reviewed journals. Ability to work independently and as part of a multidisciplinary and
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to enhance research outcomes. Candidate Criteria PhD degree in Chemistry, with a specialization in inorganic chemistry or a closely related area, is required. Research Excellence: A strong track record of
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Excellence: A strong track record of high-quality research demonstrated through publications in reputable international journals. Collaborative Mindset: Proven ability to collaborate effectively with
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and optimization tools, e.g. Aspen, Pro/II, GAMS, gProms... Ambitious, curious, autonomous, and open-minded person. A proven track record of research publications in reputable peer-reviewed journals
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analysis, and statistical software. Excellent written and oral communication skills, with a proven track record of scientific publications. Ability to work independently as well as collaboratively in a
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release
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). Demonstrated ability in data analysis and material performance optimization. A solid track record of peer-reviewed publications. Preferred: Knowledge of agronomic applications, including controlled-release