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better world. You can find more information about working at NTNU and the application process here . About the position We invite applications for a Postdoctoral position in system-level analysis of deep
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Details Title Postdoctoral Fellow in Deep Learning Theory and/or Theoretical Neuroscience School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Position
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Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description We are looking for a motivated postdoctoral researcher to join the AI
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Posting Description POSTDOCTORAL ASSOCIATE, Mechanical Engineering,will work under the direction of Prof. Sherrie Wang to develop deep learning methods for hyper-local weather forecasting with
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equivalent qualification with one to two years of advanced research experience in generative AI, visual computing and deep learning, and must have no more than five years of post-qualification experience
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Postdoctoral Fellow provides for an internship and continuation of scholarly activity and research after achieving the PhD or other doctoral degree under the direction of a senior faculty member who serves as a
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development of a novel generative AI framework for structural biology. This project sits at the intersection of X-ray scattering and deep learning, aimed at integrating experimental data to predict protein
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) experience in large model training, knowledge distillation or efficient deep learning algorithm development, foundation model implementation and optimisation; and (c) good communication skills in English
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diseases, Genome Biology, 2024 S. Hudaiberdiev et al., Modeling islet enhancers using deep learning identifies candidate causal variants at loci associated with T2D and glycemic traits, PNAS, 2023 S. Li et
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, machine learning, and deep learning Good written and oral communication skills Experience in leading research projects Proficiency in basics of programming languages such as Python Self-Motivated and takes