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feeds Development of a sensor platform for multimodal Camera/RADAR perception assisted by AI H/F 110 / 795 vacancy Vacancy details Position description Category Mathematics, information, scientific
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embedded FPGA-based intelligence near seismic sensor arrays, you will explore methods to maximize prediction performance while minimizing data transmission and latency. Your key tasks include: Evaluating
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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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designing and evaluating machine learning models for benchmark grids and, depending on data readiness and project progress, by testing them on a real campus network with high-quality consumption and
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Your Job You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 Ph.D. students at 7 universities, one research center and
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LIS, votre rôle consistera à : - Analyser diverses méthodes numériques (Différences finies, Méthode spectrale) pour développer des réseaux de substitution ("Surrogate Network") entraînés sur des
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CPlantBox and with data from the TERENO SoilCan lysimeter network , including soil water status, evapotranspiration, sap flow and leaf water potential. Your Profile A Masters degree in bioscience
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Your Job As part of this project, you will fabricate and characterize novel microscale liquid crystal elastomers (micro-LCEs) based on charged microgels with tailored polymer network architectures
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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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, contributing to catalyst synthesis Networking & Exchange : You will participate in (international) conferences and project meetings and actively build your scientific network Work-life balance : Flexible