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ALMA MATER STUDIORUM - UNIVERSITA' DI BOLOGNA - - DIPARTIMENTO DI INGEGNERIA DELL'ENERGIA ELETTRICA E DELL'INFORMAZIONE "GUGLIELMO MARCONI" | Italy | 3 days ago
, of diagnostic and prognostic techniques based on hybrid approaches (physical models and learning), with semi-automated modeling and statistical parameter adaptation. - Design and programming of data acquisition
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deployment enabling validation and demonstration of real-world applications. For more details, please view https://www.ntu.edu.sg/erian We are seeking a Research Fellow to lead the development and
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the Biomechanics, Wood, and Bio-based Materials axis of LMGC (Laboratory of Mechanics and Civil Engineering, Montpeliier), where we carry out research (experimental and modeling) on the biophysical determinism
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temporal scales from seconds to hours and beyond. The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between
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GenAI models and agentic architectures in order to improve their innovation processes. It combines qualitative case studies and quantitative surveys to map governance models. Particular attention is paid
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, Microbiology, or Biochemistry International publication activity in a current field of biological stress response, preferably relevant to aging and cell death research Expertise in working with the model
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Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Plant species distribution models (SDMs
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graphics. Classical representations are relatively easy to render, while being difficult for generative machine learning models. A recent breakthrough in this area is the Neural Radiance Field (NeRF) and
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1 Apr 2026 Job Information Organisation/Company La Rochelle Université Research Field Computer science Environmental science Computer science » Modelling tools Computer science » Programming
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, or artificial intelligence. Knowledge of control systems, system modelling, and data-driven modelling approaches. Proven ability to discretise continuous-time models and implement real-time estimation algorithms