Sort by
Refine Your Search
-
Category
-
Employer
- CNRS
- IMT Atlantique
- Nature Careers
- IMT Nord Europe
- Aix-Marseille Université
- ESSEC Business School
- Ecole Normale Supérieure
- Inria, the French national research institute for the digital sciences
- Institut Pasteur
- Mines Paris - PSL, Centre PERSEE
- Universite de Montpellier
- University of Poitiers
- iEES Paris, INRA Versailles-Grignon
- 3 more »
- « less
-
Field
-
31 Jan 2025 Job Information Organisation/Company ESSEC Business School Research Field Mathematics » Statistics Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France
-
. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various
-
and interest in evolutionary ecology, plant biology and biostatistics to discover how plant defenses have evolved by using statistical approaches combined with experimental work. In this project you
-
the organising principles of biological information processing, focusing on the underlying physics of computations and sensory environments. This exploration has led to developing models and advanced statistical
-
at the Doctoral School in Humanities and Social Sciences: hold a Master in Quantitative Social Sciences or Statistics Fluent in English Work in an inter-cultural and international environment Work both
-
community with a wide range of researchers in the topics of statistical physics, quantum dynamics and quantum field theory that are relevant to the topic. This thesis will investigate a new class of phase
-
of this thesis is to used advanced statistical methods to assess the effectiveness of LEZ in France to determine their impact on reducing air pollutant concentrations related to road traffic and improving air
-
... Master's degree in cognitive science, data science, statistics, computer science or a related field Enthusiasm for interdisciplinary research & research methods Strong analytical skills and a collaborative
-
modeling and statistics Experience with research methods and concepts in experimental psychology and cognitive neuroscience (e.g., empirical research, experiment design, questionnaire, EEG) Technical Skills
-
insects in bat guano samples, and how they related to abiotic conditions (weather data). They will apply advanced bioinformatics and statistical methods, contribute to scientific publications, and