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Two-year postdoc position (M/F) in signal processing and Monte Carlo methods applied to epidemiology
-Negative Matrix Factorization will be explored. The second challenge is to leverage the derived statistical models to design automated data-driven procedures for the estimation of epidemiological indicators
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ExperienceNone Additional Information Eligibility criteria The postdoc should have a PhD degree in evolutionary biology, with expertise in bioinformatics, statistics, programming and/or modeling. Previous
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LanguagesFRENCHLevelBasic Research FieldPhysicsYears of Research Experience1 - 4 Additional Information Eligibility criteria Prerequisites: PhD in applied mathematics or physics with a strong theoretical component Strong
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ExperienceNone Additional Information Eligibility criteria Profile: PhD in biology, neurobiology, microbiology or a related discipline. Previous experience in animal experimentation is essential. Experience in
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sciences » Cognitive scienceYears of Research Experience1 - 4 Research FieldPsychological sciences » PsychologyYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in
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FieldPsychological sciences » Cognitive scienceYears of Research ExperienceNone Research FieldPsychological sciences » PsychologyYears of Research ExperienceNone Additional Information Eligibility criteria - PhD in
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throughput genomics that informs advanced numerical analysis methods (modeling, statistics, machine learning). Plankton encompasses all organisms roaming with marine currents. Those organisms are responsible
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ExperienceNone Additional Information Eligibility criteria We are looking for a motivated early-career theoretical biologist with a PhD in theoretical evolutionary biology. Skills in statistics, programming
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Statistical Signal Processing, Data Science, Machine Learning with an interest in astrophysics - or a PhD in Astroparticle Physics with skills and professional experience in experimental data analysis. Website
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communities to environmental stresses and the cascading effects on ecosystem functioning. - Setting up experiments - Ecophysiological measurements in the laboratory - Statistical analysis of collected data