21 machine-learning-"https:" "https:" "https:" positions at Chalmers University of Technology
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regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods, statistical analysis and efficient algorithm and data structures (https
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, or a related field. It is an advantage if you have experience with probability theory, reinforcement learning, or Markov Decision Processes. Coursework or project experience in multi-agent systems
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new methods for integrated sensing and communications in optical networks. Cutting-edge machine learning techniques for sensing data analysis, models of the impact of external phenomena on optical
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, or a related field. It is an advantage if you have experience with probability theory, reinforcement learning, or Markov Decision Processes. Coursework or project experience in multi-agent systems
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methods and AI solutions that support intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project We
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intelligent decisions across society, advancing machine learning techniques, from foundations to industrial and scientific applications. About the research project You will work in Julian Togelius' new research
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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spans computational materials design, catalysis, energy materials, machine learning, and artificial intelligence. We offer a collaborative and international research environment with close interactions
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or production systems AI, machine learning, data analytics or synthetic data digital twins, digital threads or model-based systems engineering automation, control, sensing, communication systems or industrial
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nutrition, such as: analysis of time series data and dynamic processes, where signals and responses evolve over time. statistical modelling, AI, and machine learning on large epidemiological cohorts, diet and