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is seeking a post-doctoral fellow in Modeling and Crop Yield Prediction in Africa. The candidate will have the objective of developing models for estimating and predicting the yields of targeted crops
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environments. Additionally, we have identified key gene families and their specific targets that can be enhanced through genome editing technologies. Our mission is to accelerate the adoption of these resilient
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algebra algorithms, including sparse/dense linear systems solving and preconditioners. Scalable implementations of linear algebra methods targeting large-scale HPC systems. Optimization of linear algebra
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(adenovirus, baculovirus). Purifying target proteins using chromatographic techniques (affinity, ion exchange, gel filtration). Analyzing and characterizing purified proteins using SDS-PAGE, Western blot, ELISA
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of the strains of interest according to the targeted application. Expertise on the green extraction, chemical characterization of natural active molecules and biomacromolecules from algae (macro/microalgae
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research environment, and with rigorous work ethic. He/she should be able to deliver outputs (group meetings, scientific publications, presentations, and the dissertation) in the targeted timeframes, and
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of workflows much more rapidly than conventional approaches. The HTMR is a 100% Applied Sciences research laboratory, and is setting up its first targeted research projects around: Metallurgy & anti-corrosion
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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targeted catchments. Contribute to writing comprehensive reports encompassing detailed analyses and conclusive results. Communicate findings through the publication of peer-reviewed papers, presentations
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pharmaceutical, cosmetic, and agri-food applications. Key Responsibilities: Conduct extraction and fractionation of bioactive metabolites from algal biomass. Isolate and purify target compounds using