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program and facility. The successful candidate will add to this expertise and help build a new intersection of neuroscience and artificial intelligence. Modern machine learning and AI techniques now enable
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all areas of computational chemistry and machine learning related to that area to join our vibrant, collaborative, and supportive discovery research community at the Mission Bay Campus in San Francisco
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scientific machine learning, knowledge of atmospheric dynamics, new observations, and close connections with national meteorological services, as well as several leading weather forecasting centers and tech
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) - Implement a demonstrator of the platform where a human learns how to operate a CNC machine with the help of a social robot, through the digital twins and interfaces. This includes: o Defining a learning
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dynein, which power the movement of membranes and chromosomes along microtubules inside cells, and also plans to explore how these and other cellular molecular machines adapt to extreme temperature
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the Tenure Track position, such as Machine Learning, Neural Networks, Optimization, Applied Harmonic Analysis, Inverse Problems, Quantum Information, and other relevant areas. Additionally, the position will
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implementing computational schemes for ODE and / or PDE based models Ideally experience with machine learning methods for identifying governing equations from experimental observations (e.g., https://github.com
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work can be found by visiting https://federlab.github.io/ About the Postdoctoral Scientist role: This role is an ideal fit for an intellectually curious, creative, and driven scientist ready to gain
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machine learning methods is required. You are expected to have a proven track record of publishing scientific results in peer-reviewed journals. What we offer As well as the exciting opportunities this role
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Assistant Professor (tenure-track) and Associate Professor (tenured) Positions in Computer Scienc...
strengthen or add to our competences. We encourage interested candidates to explore the section’s website at https://acp.sdu.dk/ and the SustainAI group’s website https://sustainai.sdu.dk for more