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develop novel learning-based control and policy optimization techniques. We're looking for a skilled machine learning (ML) engineer to develop cutting-edge AI algorithms for digital twin applications in
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qualifications with a university degree (Master or equivalent) in physics, engineering or computer science Proficiency in computer vision and machine learning with Python Knowledge of X-ray physics and laboratory
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and in computer architecture domains, our ability to analyze data still falls behind the unstoppable data collection rates. Data-intensive applications are increasingly more demanding in sophisticated
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optimize, specialize, and deploy models — fine-tuning, distillation, quantization, and efficient inference. Contribute to the evaluation and benchmarking of AI systems on scientific tasks, including open and
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) Application Deadline 2 Dec 2026 - 22:59 (UTC) Country Switzerland Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Horizon Europe - MSCA Is the Job
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Your profile PhD applicants must possess a Master's degree in mathematics, theoretical physics, computer science, or a related field. Postdoctoral applicants must hold, or be close to completing, a
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Our research group focuses on the development of AI algorithms for industrial applications. The main scope of our activities is the optimization and automation of workflows and production systems
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interventions with a patient’s clinical state, lesion characteristics, and multimodal biomarkers to optimize therapeutic effectiveness, across the pathway of care. This research axis is embedded in the CEREBRIS
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solid booster formulations with PFAS-free binders, in line with the sustainability goals of the project. You will explore compositions and pellet morphologies to optimize mass transport and reactivity
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100%, Zurich, fixed-term Design++ is the Center for Augmented Computational Design in Architecture, Engineering and Construction (AEC) at ETH Zurich. The center's vision is to remove collaboration