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consumers. You'll gain deep interdisciplinary experience—combining multiple data layers and approaches including bioinformatics, machine learning, food safety management, regulatory science, genomics and user
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students to work on theory of polaritons and light–matter interactions, and in particular topics related to Mie-resonant photonics, electron-beam spectroscopies, chiral polaritons, nonlinear optics, quantum
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(or equivalent (120 ECTS points)) in civil or mechanical engineering. Background or strong interest in one or more of the following: Hydrodynamics (wave or coastal) Structural mechanics (nonlinear beam theory
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graph using RDF, OWL, and related technologies Designing and implementing workflows for data ingestion, integration, and querying across multiple systems Driving use-case studies that demonstrate
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optimization. Experience with energy system modeling - ideally of large scale multiple country energy systems, PtX and renewable fuel production. Strong writing and presentation skills. A willingness and desire
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, mathematical and programming contexts Your research will include extending and contributing to models and codes, including both high- and low-level programming languages, e.g. Python/Matlab to the development
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candidate, who will contribute to the development and implementation of the theory, and to applications in secure compilation. Further details on the planned research are summarized in the technical part of
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/ProvinceOdenseCityOdensePostal Code5230StreetCampusvej 55Geofield Contact City Odense Website https://cheminf.imada.sdu.dk/ Street Campusvej 55 Postal Code 5230 STATUS: EXPIRED X (formerly Twitter) Facebook LinkedIn Whatsapp More
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Environments (VLE), serious gaming, agent-based simulation, knowledge of relevant research methodologies and and practical experience with adequate state-of-the-art tools Very strong skills in coding (e.g
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part of the Perception and Cognition for Autonomous Systems Group (PCAS), and you will find yourself among multiple PhD students and senior researchers working on multiple aspects of autonomous robotics