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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 3 days ago
(Lille University Hospital) and with all members of the Numetab consortium. The following main tasks will be implemented: 1. Modeling of weight curves using scalar functional data [3] 2. Modeling
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of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass. Candidates should hold a PhD degree with professional experience in biotechnology, process
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enterprises (SMEs). The postdoc will work at the intersection of cybersecurity, machine learning, and human centered system design, contributing to the research on privacy aware monitoring, attacker modelling
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
structures and as there are strong occlusions. The 3D reconstruction of flowers has received relatively little study. An early model reconstructs static flowers using botanical priors [1] by building a shape
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(UM6P) is seeking applications for a Postdoctoral researcher in the field of computational biotechnology and modelling/simulation of bioreactor under aerobic and/or anaerobic treatment of biomass
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Organisation (RTO) that drives innovation for the economy and society in Luxembourg and beyond. With cutting-edge expertise in Natural, Built, Industrial environments, Space, AI, Security and defence
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Ridge National Laboratory (ORNL) seeks a motivated Postdoctoral Research Associate. This position primarily focuses on large-scale molecular dynamics (MD) simulations and AI-integrated multiscale modeling
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Max Planck Institute of Animal Behavior, Radolfzell / Konstanz | Konstanz, Baden W rttemberg | Germany | 4 days ago
the possibility of extension. The position is located in Konstanz. The expected starting date is summer 2026, latest by August 1st , 2026. Postdoctoral position (m/f/d) 100 % - “The social dynamics of collective
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Sustainable composite STructures for supporting the decision-making and resilience of the society Of the future”. This project develops transdisciplinary models that integrate traditional finite-element physico
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of these reusable packaging using IoT sensors and deep learning techniques embedded in the sensors. During the preliminary work, neural network models were developed to perform simple tasks using accelerometer data