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grasslands and evaluation of land-use intensity, Expertise in classification with machine-learning methods, statistics, spatial analysis and land-use modeling, Experience and interest in conducting fieldwork
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Professor rank. We welcome applicants with a PhD (or equivalent) in biostatistics, statistics, or a closely related quantitative field. We seek scholars with training in biostatistics/statistics and
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 2 months ago
On Chip) for embedded E&S applications, including atmospheric CO₂ and CH₄ monitoring. This PhD work will also play a central role in developing, testing, and validating the proposed statistical and machine
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and philosophers, including one other PhD student (statistics) and two postdocs (spatial forest ecology and philosophy/social science). The candidate is expected to contribute toward developing
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. Where to apply Website https://brgm-recrute.talent-soft.com/job/job-post-doc-raw-materials-lca-for-the… Requirements Research FieldGeosciences » OtherEducation LevelPhD or equivalent Skills/Qualifications
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functions to work properly. Please turn on JavaScript in your browser and try again. UiO/Anders Lien 1st March 2026 Languages English English English PhD Research Fellow in Statistics Apply for this job See
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learning, AI, or statistical modeling applied to biological data Experience with genomics, transcriptomics, single-cell and/or spatial omics technologies Proficiency in scientific computing frameworks Strong
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for the other courses may include introductory computational methods, statistical methods, text analysis, network analysis, spatial analysis, societal impact of AI, digital media, art and technology, social media
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statistics of mean and extreme wind events over the Baltic Sea region. Tellus A, 67, 29073. https://doi.org/10.3402/tellusa.v67.29073 Björkqvist, J.-V., Lukas, I., Alari, V., van Vledder, P.G., Hulst, S
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at the rank of Research Assistant Professor in applied probability, data science, machine learning, and spatial statistics. Candidates with a strong background in the development of novel models and original