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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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, 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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exchangers (HX) for optimizing thermal storage in silos. The researcher will deploy conjugate heat transfer CFD models and conduct simulations to provide high-fidelity predictions of available power, charging
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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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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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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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response using large public datasets and modern predictive modeling Integrate CIN signatures with functional dependency resources to shortlist candidate vulnerabilities for validation Contribute to open
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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
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
to perform disease modeling and critical analytics in response to infectious disease outbreaks. Duties will include helping to implement predictive and analytic models of infectious disease using Python and R