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adaptive systems that jointly optimize morphology and control for real-world physical interaction. Requirements Ph.D. in Computer Science or a related discipline. Strong background in Machine Learning
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command of Microsoft Office and data/spectra processing software; Experience in acquiring, managing, or implementing research projects will be considered an advantage. Ability to conduct scientific research
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at CRAG (from basic science to applied research using plant experimental model systems, crops and farm animals) make extensive use of genomic technologies and large sets of genetic and genomic data (https
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feasibility randomised controlled trial (RCT) focused on increasing access to Cognitive Behavioural Therapy (CBT) for preadolescent children with Obsessive Compulsive Disorder (OCD). What We Offer As an
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Description: The RevEl project aims to replace PTFE-based dry binders with fluorine-free nanocomposites that combine mechanical robustness during battery operation with controlled debonding-on-demand at end
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to see the following publications for some context: https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc00765d https://pubs.rsc.org/en/content/articlehtml/2024/gc/d4gc04533e https
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hybrid nanoassemblies, composed of photochromic molecules in tight interactions with iron oxide superparamagnetic nanoparticles. Particular attention will be devoted to the size control of nano-objects by
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estimations of the same person. The research will be based on recent spherical representations such as UniphorM. - Activity 2: Integrate both object and person detection in the control of collaborative robot
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) and high mass (>100 GeV). More details about the team in https://www.cppm.in2p3.fr/web/en/research/astroparticles/index.html#Dar… The candidate will be involved in all experimental aspects, from
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to this position, a full curriculum vitae, and names and contact information for three references. Applications will be reviewed on a rolling basis until the position is filled. Quick Link to Posting https