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FieldEngineering » Electrical engineeringEducation LevelPhD or equivalent Skills/Qualifications Skills The candidate must have an engineering and/or master's degree in electrical engineering. She will hold a PhD in
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islands. Requirements Research FieldPhysicsEducation LevelPhD or equivalent Skills/Qualifications - PhD in natural Sciences - Knowledge of urban physics and management of social Science activities
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TITLE: Spatiotemporal dynamics and plasticity mechanisms in cancer cell populations : A data-driven model inference approachThe development and regeneration of tissues result from a complex orchestration of cellular processes such as proliferation, differentiation, motility, and intercellular...
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Title: Deep generative models for weakly-supervised improvement of photogrammetric modelsContact: Maxime Lhuillier (chargé de recherches CNRS, HDR) [email protected]: deep generative models, semi-supervised learning, surface reconstruction from images, photogrammetry for...
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release (2) a stimuli-triggered drug release (e.g. light, pH, etc.). The current PhD project (Design of smart SUstained-RElease drug delivery systems: synthesis, characterization and applications in nano
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engineeringYears of Research Experience1 - 4 Additional Information Eligibility criteria - PhD in molecular or cell biology. - Cell culture skills (eukaryotic cells). - Skills in biochemistry and molecular biology
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*PhD position: Distributed computing applied in a satellite swarm system**Keywords*: orbital edge computing, distributed algorithms, satellite swarm, nanosatellites, replication, distributed
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We are offering a PhD position on tensor decomposition methods for data fusion, with application to multi-subject fMRI data.Location: The CRAN laboratory (University of Lorraine) at Nancy, France
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archaeology (MA/PhD). • Excellent knowledge of the Mediterranean archaeological context required. • Experience in advanced bibliographic search and compilation; knowledge of Zotero software. • Data management
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motivated and skilled PhD student to contribute to the MULTITHERMO project. The overarching goal is to develop trustworthy predictive physico-chemical models of electrical and solar rotary kilns for energy