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carbon materials by stereolithography, including experimental validation of predictive models and production of materials with controlled textural properties: a) Systematic bibliographic survey on 3D
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exploratory analysis to support research, predictive modeling, and departmental analytics needs. Contribute to machine‑learning prototype development, including running model experiments, evaluating performance
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, Chemistry or related scientific fields and experience and knowledge managing and analyzing spectroscopic data to build predictive models. The Successful candidates should be able to work independently, have
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brain sciences • Medical • Biomedical • Nanofluidics and microfluidics • Biomimetrics and biofilms • Social media analysis and predictive modeling • Molecular, cellular, ecosystems, marine science, and
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, you will join an agile team composed of: • A PhD student in AI/Control: focused on anomaly detection in time series. • An MLOps Engineer: responsible for deployment and production of models
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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 looking for a Research Associate to conduct numerical modelling
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to generate baseline datasets for calibrating and validating predictive models of biodiversity-rich forests. Using machine learning (ML) algorithms, the Research Assistant will help predict the occurrence
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of the project “PROSPER: Predictive models for sustainable protein recovery”, funded by FEDER and by National Funds through FCT (Operation No. 15391 — COMPETE2030-FEDER-00907300), under the following conditions
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selection criteria You must have strong competence in artificial intelligence, signal processing, modelling, instrumentation, or control, including good programming skills. This background is typically
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into European energy system models based on the institute's own open-source FINE framework https://github.com/FZJ-IEK3-VSA/FINE . Your tasks in detail: Implementing geothermal plants with material co-production