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to environmental stress. The successful candidate will work at the interface of molecular biology, physiology, and omics technologies to dissect regulatory networks in model and/or crop plants. Key Responsibilities
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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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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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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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. 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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, 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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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