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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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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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. Chan, “When edge meets learning: Adaptive control for resource- constrained distributed machine learning,” in IEEE INFOCOM 2018- IEEE conference on computer communications. IEEE, 2018, pp. 63– 71. [3] G
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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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of Research Experience1 - 4 Additional Information Eligibility criteria Ability to lead a scientific project Technical skills in optical instrumentation Technical skills in computer interfacing with
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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
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-field code, written in the Cuda C language and parallelized on a single GPU (Graphical Processor Unit). A parallelization on multiple GPUs would be a welcome development during the thesis. Where to apply
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Office equipped with a computer station and common
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, bioinformatics, or other relevant field - Strong computer skills and expertise in demographic modeling - Fluency in spoken and written English - Ability to work effectively in a multidisciplinary team environment