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avoiding one another or moving together. However, suitable statistical techniques for analyzing such data remain underdeveloped. Point processes offer a promising approach for studying short-term
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2 Apr 2026 Job Information Organisation/Company École Normale Supérieure Department Physics Research Field Physics » Statistical physics Researcher Profile First Stage Researcher (R1) Positions
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Director), head of the GIN's 'Brain, Behaviour and Neuromodulation' team. This multidisciplinary team brings together researchers, clinicians, engineers, PhD students and undergraduates around a common goal
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into LISA's data, and may involve the broader science community. Making unexpected discoveries with LISA data is a special challenge which inevitably involves statistically weighing the possibility
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: Writing scientific articles and presenting results at conferences. Candidate profile PhD in Applied Mathematics, Fluid Mechanics, or a related field. Strong programming skills in C++. Experience with IGA
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acquisition). Statistical analysis and computational modelling of cross-linguistic data from a developmental project investigating the emergence of an indefinite article in Hindi. Oral narratives have already
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scientific publications. Desired skills: - PhD in soil science / microbial and/or viral ecology - Molecular biology - Experiments in soil mesocosms and/or microcosms - Strong knowledge of statistics - Ability
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or expect to complete a PhD in physics or a related field, with strong background in soft matter / nonequilibrium statistical physics / numerical simulation / statistical inference. Scientific skills
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interdisciplinary research team. PhD in one of the following areas: infectious disease epidemiology, mathematics, statistics, physics, AI, computer science, population biology or a similarly quantitative discipline
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. Qualifications PhD (obtained or near completion) in evolutionary biology, population genetics, genomics, or bioinformatics. Strong background in population genetics and evolutionary biology. Proficiency in