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quality Surrogate Modeling: Building, training, and evaluating machine learning surrogate models to emulate complex seismic behaviors and accelerate forecasting Data Engineering: Populating and managing
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foundations of conversational AI as well as domain knowledge on how and why it can be deployed effectively. You should have knowledge and skills in both data analytics (e.g., machine learning, statistics
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on poroelastic effects and induced seismicity in geothermal systems. The position focuses on production-induced seismicity in fractured reservoirs and combines field experiments, data analysis, and numerical
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strategies. Job description Investigate pressure, deformation, and seismicity data from hydraulic stimulation experiments to derive conceptual models of post-shut-in processes Develop hydromechanical models
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and can also build reliable, deployable systems. You: Must hold a master’s degree in computer science, data science, or a closely related field Have strong analytical and problem-solving skills Are able
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Your position • Maintain and enhance pipelines for spike sorting, calcium imaging signal extraction, neuron tracking across recordings, and automated behavioral analysis. • Develop efficient data
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multiple tasks and priorities. Analytical mindset with the ability to track performance, interpret data, and improve processes. Experience working with CRM systems and managing pipelines is an advantage
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10%-30%, Zurich, fixed-term The Strategy and Analytics Team supports the systematic integration of sustainability and ethics into teaching and learning. The team's goal is to enable students
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a corresponding scientific publication record Strong communication, organizational, and analytical skills Proficiency in written and spoken English; German skills are a plus Workplace Workplace We
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of measurement systems, signal processing and analysis and the assessment of measurement accuracy, robustness and long-term stability. The resulting data form the basis for model-based approaches to evaluating