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Eligibility Criteria We are adopting a contextual admissions process. This means we will consider other key competencies and experience alongside your academic qualifications. An example can be found here . A
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of the project is required. Prior experience on the specific topics is not required, but a plus. These topics include: Parameterized algorithms Approximation algorithms Linear programming methods, including primal
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the mechanistic details of biological processes using diverse experimental systems. We apply state-of-the-art technologies, including high-resolution fluorescence microscopy, quantitative proteomics (HDX and XL MS
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: Theoretical and experimental background in neuroscience. Experience in mice models and corresponding qualifications (tissue preparation, IHC). Solid background in molecular biology methods and fluorescence
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the newest developments in 3D printing and test innovative ideas through hands-on experimentation. You have experience with digital design and control tools such as MATLAB, Python, or ROS, and possibly with
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-academic audience. Additionally, for Position #1 – experimental, you also possess: An MSc in agro-ecology, agronomy, soil biology, plant pathology or entomology with experience in field ecology or field
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computer science, mechanical engineering, or aerospace engineering. You should have programming experience applied to physics/engineering problems and/or experience with machine learning and ML. The University
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spatial and seasonal distribution. Using incubation experiments with 13 C-labeled MPn, you will quantify the contribution of oxic microbial degradation of MPn to methane. You will conduct the incubation
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of plants and animals On-site experiments of seed rain and supplementary feeding to avian frugivores Collaborate with members of the whole research unit. Quantitative analyses of ecological networks and trait
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | 3 days ago
understanding of computing systems, such as computer architecture and embedded systems Familiarity with commercial Integrated Circuit design tools, such as Virtuoso, Spectre, VCS, Calibre, etc. Some experience