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Details Title Postdoctoral Fellowship in Visualization and Machine Learning at Harvard University School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer
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Details Title Postdoctoral Fellow in Computer Science: Machine Learning Systems School Harvard John A. Paulson School of Engineering and Applied Sciences Department/Area Computer Science Position
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Details Title Postdoctoral Research Fellow in Biostatistical and Causal Machine Learning Methods School Harvard T.H. Chan School of Public Health Department/Area Biostatistics Position Description A
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Details Title Postdoctoral Fellow in On-Premise Computing for Autonomous Vehicles (Computer Architecture, Machine Learning and Runtime Systems) School Harvard John A. Paulson School of Engineering
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Center for Drug Evaluation and Research (CDER) | Silver Spring, Maryland | United States | 2 days ago
the clinical outcome after treatment. This project will use machine learning to predict clinical outcomes based on baseline patient factors, and therefore help to find the right drug at the right dose for each
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Details Title Postdoctoral Fellow in Machine Learning and Design of Biological Systems School Faculty of Arts and Sciences Department/Area Science Division Position Description A postdoctoral
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-Centric Machine Learning lab of Prof. David Alvarez-Melis at Harvard University, part of the ML Foundations group, has an opening for a postdoctoral position to work on novel methods for modular machine
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have experience expertise in one or more of the following: MRI pulse sequence design (GE HealthCare EPIC Preferred) Programming in Python and C/C++ Machine learning with PyTorch Excellent writing skills
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-wide in-person events, typically in New York. Basic Qualifications Researchers holding a PhD related to programming languages, artificial intelligence, and machine learning. Researchers with experience
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individually and in an integrative manner using analytic techniques that range from traditional statistics to novel statistical, machine learning and network/systems biology approaches. Initial data queries will