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PhD Studentship in Medicinal Chemistry: High-throughput chemistry and direct-to-biology testing to accelerate drug discovery Award Summary 100% fees covered, and a minimum tax-free annual living
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. The other objective of the proposed work is to carry out international comparisons, with academic work taking place in parallel in several laboratories around the world. The various topics for analysis will
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applications, forecasting and nowcasting, including precipitation and hydrological impacts. The Researcher series at SIO parallels the Professor series in terms of independent research and service, but it
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, or parallel computing. Strong programming skills. First research experience through peer-reviewed publications is meritorious. After the qualification requirements, great emphasis will be placed on personal
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optical spectroscopies. In parallel, various science outreach activities will also be developed. Workplace: The work will be developed at the research group Cultural Heritage and Responsive Materials
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French National Research Institute for Agriculture, Food, and the Environment (INRAE) | Angers, Pays de la Loire | France | 3 months ago
the VALEMA team comprising 4 scientists (1 university lecturer, 1 research scientist, and 2 engineers), 2 technicians, and 2 PhD students. The members of the team, as well as their national/international
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will be one of four recruitment positions in BioM filled simultaneously (parallel hires: 2 PhD fellows, in population ecology and statistics, and a postdoctoral fellow in spatial ecological modeling
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multiome RNA-seq, ATAC-seq and massively parallel reporter assays (MPRAs) for unbiased genome-wide analysis for understanding the phenotypic plasticity in different cancer cell states. Work tasks The work
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 3 months ago
and PhD students on a national and international level to propose and lead new projects. Detailed missions Test and improve the E2Clab code, build non-regressive robustness and performance tests, set up
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, with experience in areas like multimodal alignment and efficient parallel training. Experience processing large-scale agricultural or biological data (genomic, transcriptomic, phenomic, remote sensing