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their decisions and businesses in their strategies. Do you want to know more about LIST? Check our website: https://www.list.lu/ How will you contribute? You will be part of the Environmental Sustainability
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Universidade Lusófona´s Research Center for Digital Human-Environment Interaction Lab | Portugal | 3 months ago
international circulation. International Profile. Be proficient, speaking and writing in English. Technical skills including: experience with Python (Pandas, Numpy, Matplotlib, etc.); experience with popular
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public events. Independent work as well as collaboration with other members of the project team. Content of the research activity: Spatial analysis in GIS (e.g., in QGIS or Python) aimed at analysing
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processes are based on the principles of Open, Transparent and Merit-based Recruitment (OTM-R). Where to apply Website https://selection.uoc.edu/web/profile/login.aspx Requirements Research FieldComputer
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. Knowledge, Skills & Abilities : Strong programming skills (Python required; Java/Android or App Inventor experience desirable). Familiarity with statistics and machine learning methods. Interest in
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recruited will be based at the Musée de l'Homme in Paris within the Eco-Anthropologie UMR 7206 unit (https://ecoanthropologie.fr/fr ) and will interact regularly with the UMR5300 Centre de Recherche pour la
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fields can be found on: https://www.isse.tu-clausthal.de/forschung/forschungsgruppen/dgt-digitized-green-tech Our excellent Network on international and national basis offers a perfect start for a
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of degree equivalency. Preferred Qualifications: Background in medical imaging, imaging simulation, and machine learning. Programming in Python, MATLAB, C, CUDA. Other Requirements: This position is hybrid
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methods the reliability and robustness of the hallucination detection system under diverse visual and textual conditions Primary experiments will be conducted in CARLA (https://carla.org ), enabling
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the position description. Preferences The ideal candidate will have experience with wearable sensors and/or remote monitoring approaches and strong programming (e.g., R, Python, or similar) and writing skills