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18 Sep 2025 Job Information Organisation/Company Università di Parma Research Field Physics » Mathematical physics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Country Italy Application Deadline 16 Oct 2025 - 23:59...
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Research Infrastructure? No Offer Description A public selection based on qualifications and interviews is open to award no. 9 research grants in the field of “Modelling of marine systems
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environments. The network emphasizes innovation through the development of a Virtual Training Environment (VTE) for disaster response simulation, integration of Building Information Modelling (BIM) with
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Postdocs in Generative Machine Learning for Biomedical Data. The postholders will focus on developing and applying state-of-the-art generative models (such as VAEs, GANs, and transformer-based architectures
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, communication algorithms) Parallel programming models and runtimes for emerging architectures (e.g., processing-in-memory, SRAM-centric) Performance modelling & optimisation of ML algorithms on unconventional
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“Electromagnetic models for spherical-wavefront U-MIMO THz communications”. Develop electromagnetic models for large antenna arrays with spherical wavefronts. Focus on deriving analytical models and channel limits
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contribute to the design and development of Machine Vision approaches for the quantitative analysis and phenotyping of agricultural systems: Training/Development of computational models for the quantitative
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thermal modeling of the devices, layout design, supervision of foundry fabrication processes, and experimental performance characterization (sensitivity, detection limit, stability). The researcher will
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use multianalyte liquid biopsies to monitor the clonal evolution of RAS mutant cancers. Further aim is to investigate the selective pressure of drugs on RAS mutant cancers cells using models
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of an epidemiological model, preferably agent-based, for a