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outlined below, contributing to the design and execution of experiments aimed at identifying the behavioural and physiological mechanisms that facilitate nematode adaptation to arsenic-rich environments
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primary school students' historical reasoning in non-formal settings. Interactive Learning Environments. Hageneuer, S. (2020). Communicating Past in the Digital Age. International Conference on Digital
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RESEARCHER PROFILE: Postdoc/R2: PhD holders RESEARCH FIELD(S)1: Physics MAIN SUB RESEARCH FIELD OR DISCIPLINES1: Engineering JOB /OFFER DESCRIPTION This post-doctoral position will be realized within
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4 Dec 2025 Job Information Organisation/Company CNRS Department Architecture et Réactivité de l'ARN Research Field Biological sciences Medical sciences Pharmacological sciences Researcher Profile
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 12 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 10 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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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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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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, etc.) Knows-how: • Design, implement, and evaluate machine learning and deep learning models, including multimodal architectures • Process, clean, and integrate heterogeneous datasets (electrical