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involve building and applying state-of-the-art machine learning approaches that includes foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single
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involve building and applying state-of-the-art machine learning approaches, including foundation models, variational autoencoders (VAEs), and transformer-based architectures, to integrate single-cell
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implement AI/ML models (e.g., graph neural networks, transformer-based models) for retrosynthetic pathway prediction. Apply deep learning techniques to predict reaction outcomes, optimize reaction
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-environmental research questions Advance the use of visual transformer embeddings for social science applications Collaborate on active learning, debiasing, and statistical method development Contribute to
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and histology datasets. Applying graph neural networks, transformer models and generative AI approaches to study clone-microenvironment interactions. Integrating spatial transcriptomics, single-cell
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). - Machine learning for physical systems: deep learning, reinforcement learning, transformer architectures and large language models. - Analytical many-body and quantum information theory: replica field
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Max Planck Institute for Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
, experience with modern machine-learning techniques such as neural simulation-based inference or transformer architectures, and familiarity with fitting methods and tools. Participation in the hardware
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with Bayesian statistical modelling and deep learning applied to biological or food systems Documented experience with natural language processing of domain-specific text and transformer-based models
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, including transformer models, prompting strategies, named entity recognition, relation extraction, or information extraction from scientific literature. · Experience working with biodiversity
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Mathjobs.org | 28 days ago
(e.g., CNNs, LSTMs, transformer architectures) applied to biological data. ● A track record of independent or co-led research projects and first-author publications. Brief Description: The research