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16 Apr 2026 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique de Paris-Nord Research Field Computer science Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Application Deadline 6 May 2026 - 23:59 (UTC) Country France Type of...
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for prey. Given the different possible trophic levels, the study of predation can quickly become very broad and complex, as it requires estimating (i) the species composition and abundance of prey species
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problems in fragments of first-order logic over various fields, with a focus on determining the existence of exact and approximate solutions to systems of polynomial equations and inequalities. Some
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symmetries, and to formulate approximate theories and numerical methods that preserve conservation laws. -Examine the potential for these theories to be of use for the studies of waves, instabilities, multi
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instruments; a computer and scientific data processing software; access to CNRS databases and documentary resources. Key stakeholders: The UTINAM teams (researchers, postdoctoral fellows, engineers, and
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hundreds of hours of exposure) in order to estimate systematic errors. - Develop open-source analysis pipelines for extracting diffuse emission from objects with very low surface brightness. Take into
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-vacuum lines, GC and GC–MS, IR and UV–visible spectrometers, liquid- and solid-state NMR spectrometers, etc.). A computer workstation will be provided. Occasional travel to Paris or Nancy may be required
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supergravity solutions dual to strongly coupled gauge theories in 4 dimensions. The other is to construct new coherent truncations in which to determine new solutions of interest for AdS/CFT duality. 1) Use and
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- 4 Additional Information Eligibility criteria • Experience in computer modeling and programming • Knowledge of associative learning at both the neurobiological and psychological levels • Experience
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fabrication Prototyping Electrical and electronic engineering Numerical simulation Optics Computer-aided design (CAD) Optical and electrical characterization techniques Semiconductor materials # Soft Skills