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Biological sciences » Biological engineering Chemistry » Applied chemistry Chemistry » Biochemistry Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 1
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). In a research setting involving neurobiologists and epidemiologists, this project aims to understand the biological and pathophysiological landscape of complex diet-related changes in the microbiota
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 11 days ago
complexes. The successful candidate will develop novel graph neural network (GNN) architectures to learn dynamic information from molecular dynamics (MD) simulations of protein-protein and protein-nucleic
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robots operating in indoor and/or outdoor 3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development
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Inria, the French national research institute for the digital sciences | Paris 15, le de France | France | about 3 hours ago
devices will be able to perform computation and communication with energy harvested from the environment and from ambient wireless signals. The PhD student will be part of the design and electronic
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of Research ExperienceNone Additional Information Eligibility criteria Knowledge: PhD in Neuroscience In-depth knowledge of neurophysiology Mastery of in vivo recording techniques in rodents Strong knowledge
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Eligibility criteria PhD in Materials Science, Process Engineering, or a similar field. Required Skills: Proficiency in ceramic and composite material development processes, as well as structural, mechanical
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, digital painters, video creators, and others). The central idea of the project is therefore to leverage these unique collaborations to design and study the elementary building blocks of neural architectures
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, etc.) Knows-how: • Design, implement, and evaluate machine learning and deep learning models, including multimodal architectures • Process, clean, and integrate heterogeneous datasets (electrical
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molecular architecture on semiconductor surfaces ; Study of the influence of structural properties on device sensitivity · Preparation of organic monolayers with controlled architectures/structural properties