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Field
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interpretation of the data generated and that’s where this project comes in. You’ll be applying metagenomic techniques to respiratory samples and developing analysis and interpretation approaches that facilitate
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vast amounts of short, irregular biomedical time-series data, including physiological signals, lab results, and interventions. These data hold great potential for supporting high-stakes, complex decision
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encephalitis and pharmaceutical treatments. The project aims to investigate the effects of NMDA receptor hypofunction on decision-making and behaviour, with a focus on understanding the neurobiological
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-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and reward signalling. Your
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Max Planck Institute for Neurobiology of Behavior - caesar, Bonn | Bonn, Nordrhein Westfalen | Germany | about 2 months ago
behavioural data of predator-prey contacts to understand decision making underlaying aggressive predatory biting. Using data-driven modelling, you will compare these dynamics to investigate prey choice and
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exceptional researchers to join our dynamic team. As a Machine Learning Researcher, you will apply advanced ML techniques to a wide range of forecasting challenges, including time series analysis, natural
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electron microscopy analysis, Raman spectroscopy, fluid inclusion analysis, potentially appropriate petrochronological methods, and 3D geological modelling. The project will be conducted in partnership with
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on the following criteria: Knowledge in electric power engineering, power electronics, and power system analysis Experience in modelling, simulation, and experimental work Proficiency in Swedish and English, both
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community engagement. In this role, you will: Contribute to research on ecological and spatial data for urban environments: Conducting fieldwork, data collection and analysis related to urban air quality and
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AI-Driven Digital Twin for Predictive Maintenance in Aerospace – In Partnership with Rolls-Royce PhD
engineers detect faults earlier, track system degradation, and make better-informed maintenance decisions. But how can we turn this complex information into something reliable, explainable, and actionable