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or Statistics or Business Intelligence, or Artificial Learning and Intelligence, or Signal Processing. o Skills in software development and databases. o Good general scientific background, particularly in
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responses. - Good level of statistics, notions of bioinformatics. - Good level of English - Ability to communicate and work in a team - Willingness to disseminate science at specialist events (conferences
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statistical evaluation will be appreciated. The candidate should be curious, highly motivated, and flexible to address a highly inter-disciplinary project. Good English skills, writing and speaking, are needed
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and tissues of genetically modified mice - Establishment of new techniques for metabolite analysis using in vivo models - Bioinformatic/statistical analyses - Preparation of scientific articles and
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(if possible on QTOF technology). He/she masters the computer and mathematical tools necessary for the exploitation of the results; a knowledge and use of statistical and chemometric tools would be highly
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municipal police forces, with classification practices varying from one department to another (this alteration has led this criteria to being no longer labeled by the public statistics authorities
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Mines Paris - PSL, Centre PERSEE | Sophia Antipolis, Provence Alpes Cote d Azur | France | 25 days ago
of the following competencies: applied mathematics, statistics and probabilities data science, machine learning, artificial intelligence energy forecasting power system management, integration
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statistical approach versus a deep learning approach will be assessed. The results will also be used to develop better excavation and post-excavation protocols to prevent alteration and better preserve traces
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their homeostatic capabilities. We aim to develop a medically and statistically consistent approach to identifying and quantifying determinants of overall performance as well as aerobic performance from monitored
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or indicators of interest from scientific literature and automate their processing. Develop data processing methods to couple HRMS and eDNA data using advanced statistical or numerical tools such as machine