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join our research team as part of an innovative project focused on the design, production, and characterization of recombinant proteins. Under the supervision of the project leader, your responsibilities
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biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments and analysis both in Morocco (UM6P) and in France (CEREGE, Aix en Provence). Key Responsibilities: Design
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remote sensing datasets for environmental applications. Experience with high-performance computing and analysis of large datasets; A good track record of published research in peer-reviewed scientific
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multispectral/hyperspectral data processing. Proficiency in programming languages such as Python or R for data analysis and processing. Excellent communication skills and the ability to work effectively in a
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order to address real challenges. All our programs run as start-ups and can be self-organized when they reach a critical mass. Thus, academic liberty is promoted as far as funding is developed by research
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, entrepreneurship spirit and collaboration with external institutions for developing up to date science and at continent level in order to address real challenges. All our programs run as start-ups and can be self
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. Proven experience in experimental design and data analysis, with proficiency in statistical software. Experience with soil sampling, laboratory techniques, and field research. Ability to work both
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the scope of microbial ecology, environmental microbiology, and bioremediation. Strong expertise in biostatistical analysis and molecular biology is highly required. The postoctorate will perform experiments
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experience in assaying root – soil chemical interactions and imaging for simulation of soil health and nutrient acquisition Proficiency in Microsoft Office, data analysis using R and SAS. Basic knowledge
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regarding the production of targeted crops in Africa, work with the project team and valorize data as review publications. Develop and implement simulation models to predict yields from secondary data sources