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collection settings (preschools, homes) using a variety of methods (child-centered wearables, deep learning, fNIRS, eyetracking). The postdoc will primarily be mentored by Meg Cychosz (Linguistics), but
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achieved using sophisticated machine learning and Deep Learning image analysis approaches. The Research Assistant will train, deploy and evaluate Deep Learning models to predict the location of malaria
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), machine learning / deep learning / data science skills, basic understanding of cell and development biology, simulation, data visualisation, bulk / single-cell / spatial RNA-sequencing analysis
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 20 hours ago
cutting-edge machine (deep) learning numerical methods for wave-equation-based processing, imaging, and inversion. Wave phenomena are ubiquitous in science, and they extend to objectives ranging from
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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 ensemble structures. As an Empire AI
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FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Erlangen, Bayern | Germany | 4 days ago
Zuazua , invites applications for a postdoctoral researcher position in applied mathematics within the ERC Advanced Grant CoDeFeL – Control for Deep and Federated Learning. Position Details
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available data, which is heavily biased toward a small number of well-studied epitopes, and (iii) the lack of deep learning (DL) approaches specifically designed to capture the unique characteristics
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integrated semiempirical density-functional tight-binding and deep-learning neural networks. These methods will be integrated into the next-generation Amber software suite used worldwide. The project is to
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or a related discipline; demonstrable experience with scientific programming (preferably in Python, including deep learning frameworks such as PyTorch); affinity with medical image analysis and
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Infrastructure? No Offer Description Are you passionate about combining the directed evolution of diverse biomolecules with deep learning approaches and contributing to the development of better (bio