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science, artificial intelligence, computer vision, mobile robotics, machine learning, data science and analytics, or be able to demonstrate an equivalent professional practice and engagement. Previous experience in
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About the Opportunity About the Institute Do you want to be part of an exciting new Institute focused on combining human and machine intelligence into working AI solutions? We are launching a
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department
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Your Job: Investigate current challenges and bottlenecks in power flow analysis for large scale electrical distribution grids Apply machine learning/AI or surrogate modeling (e.g., neural networks
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sources, both on-premises or in the cloud. Ensures the seamless and secure transfer of data, optimizing for performance, integration and reliability to enable subsequent data transformation and modeling
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, certification, and/or registration. Specific knowledge, skills and abilities required to perform the job satisfactorily include: Demonstrated experience developing and/or implementing machine learning models in
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an annual budget of 17 MCHF and about 170 researchers and collaborators, Idiap is today a key Swiss research institute in multiple AI fields, including machine learning (including deep learning, foundation
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of department computing assets, including process of requisitions. A successful candidate will be self-motivated, interested in learning and troubleshooting; a team player, hands on and creative; and have the
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) are required - Experience in working with Earth system model simulations is required - Experience in machine learning is required - Willingness to travel for work (project meetings, workshops, and research
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Ability to lead and work in teams Essential Application/Interview Experience and capability in blast computational simulations using codes such as Viper:: Blast, machine learning, and/or LS Dyna Desirable