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- Solid experience in molecular and cellular biology - Proven experience in iPSC cell culture and differentiation - Experience in transcriptome analysis desirable - Ability to work independently on
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and medium-scale computing environments (Linux, job schedulers, parallel computing). • Familiarity with data analysis, visualization, and handling large scientific datasets. • Ability to run, adapt
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on the metabolic and trophic variables of planktonic networks. The main activity will be the analysis of in situ data collected during these projects, the estimations of the above-mentioned variables by linking them
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such as chemical analyses, microbial culturing, isotope tracing, or data modeling is highly desirable. • Proficiency in data analysis tools (e.g., Python, R, or MATLAB) and excellent command of English
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will participate in laboratory experiments, data analysis, field work, and work as part of a project team that includes doctoral students and technical staff. The main objective of this postdoc position
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an analysis of filtering solutions connected to the electric machine, based on commercial products or laboratory research, in order to assess their impact on the aging or degradation process. Partners involved
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is to investigate the seismological manifestation of contrasting modes seafloor spreading regimes across the global mid-ocean ridge system. This will involve a systematic re-analysis of mid-ocean ridge
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also cost-effective to reduce the average cost per analysis and ensuring large-scale deployment. The IMITECH project (https://imitech.cnrs.fr/ ) aims at developing autonomous, innovative miniaturized and
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ongoing research projects (finalization of data collection and analysis, preparation of manuscripts). The project involves the study of cognitive and neural modulations of social pain. Management
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and cell biology. Expertise in RNA and protein biochemistry, molecular and cell biology, as well as transcriptome analysis, would be appreciated. The recruited person must be able to manage projects