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Field
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Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming tools such as R packages, Phyton, and other programming languages Publications in the field Excellent
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 9 days ago
the prediction of vehicle flows, energy demand, and flexibility of electric vehicle fleets, with applications to energy and transportation systems. The work lies at the intersection of systems and control, data
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at Tilburg University, in collaboration with the Faculty of Military Sciences and the Joint Sigint Cyber Unit, invites applications for a fully funded postdoctoral position focusing on predictive modelling
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to identify and model the most efficient catalytic sites on NDs using advanced Density Functional Theory (DFT) calculations. The project seeks to revolutionize the design of ND-based catalysts by controlling
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Max Planck Institute for Solar System Research, Göttingen | Gottingen, Niedersachsen | Germany | 20 days ago
techniques have enormous potential for the modeling, prediction, and control of nonlinear systems governed by partial differential equations. This project will focus on developing machine learning methods
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-driven frameworks for multi-scale modeling, multi-objective optimization, and predictive control of complex chemical and biochemical processes. The research will contribute to next-generation smart
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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-control vs cohort, etc.). Strong grasp of statistical/ epidemiological principles e.g. risk prediction and survival/time-to-event modelling. Experience with uncertainty aware evaluation: confidence
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-identification, and version control. • Collaborate with clinicians, engineers, and data scientists to integrate imaging biomarkers into predictive and diagnostic models. • Contribute to study design, IRB
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, predictive models), AI‑driven network functions (closed-loop control, optimization, anomaly detection, intent resolution). You are familiar with cloud-native development (Docker, Kubernetes), CI/CD pipelines