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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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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 8 hours 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
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 8 hours ago
CEFR level C1) A strong interest in collaborative research Preferred Qualifications and Skills Relevant laboratory experience (wet-chemistry, spectrometric methods, column chromatography, geochemical
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(punctuation: 25) Item 02: Knowledge of English (punctuation: 10) Item 03: Experience in projects related to Virtual Reality in Education (punctuation: 50) Item 04: Personal interview. The interview will be held
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or equivalent Specific Requirements Item 01: Academic training and knowledge of English (punctuation: 35) Item 02: Experience in DFT calculations, organic synthesis and nanoparticle synthesis (punctuation: 50
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of the data assimilation framework in controlled experiments and evaluate its potential for spaceborne remote sensing and landscape-scale applications Improve simulation accuracy for key ecosystem variables
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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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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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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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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