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datasets generated by the Phenomobile.v2+ to identify key traits affecting crop performance under stress conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU
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of spectroscopy methods such as VNIR, SWIR and XRF as alternatives to traditional methods, Organization of field trips, data collection and lab work, Spectral data analysis, data processing, and model development
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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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Job Title: Postdoctoral Researcher – Energy engineering and monitoring of solar panel performance in semi-arid environments Duration: 12 months, renewable Position Summary: We are seeking a docotor
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conceive state-of-the-art imaging technologies and data analysis methods for high throughput quantification of plant traits in response to various stresses and cropping systems. This role is critical
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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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. Expertise in microbiome data analysis, metagenomics, or metaproteomics. Proficiency in bioinformatics tools for multi-omics data processing Strong publication record in relevant fields. Ability to work in a
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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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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