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Max Planck Institute of Molecular Cell Biology and Genetics | Dresden, Sachsen | Germany | 2 days ago
: Dresden, Saxony 01307, Germany [map ] Subject Areas: Artificial Intelligence, Machine Learning, Applied Mathematics, Biomathematics, Mathematical Biology, Computational Science, Statistics, Numerical
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electrochemical impedance spectroscopy (EIS) directly during the disassembly process to classify the cells for their reusability. A pre-trained machine learning model for assessing cell condition based on EIS data
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contribution of genetic and non-genetic driving forces for the cells’ evolution and glioma development. Using multi-omics data integration and machine learning, we will investigate cellular behaviors and gene
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Associate Professor of Experimental Physics Focusing on AI-Based Research of Biomolecular Structures
obtained and to solve complex macromolecular structures, the development and use of artificial intelligence and machine learning will increasingly be required. FAU and HZB are jointly appointing a
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. The Leibniz-LSB@TUM comprises a unique and world-leading research profile at the interface of Food Chemistry and Biology, Chemosensors and Technology, and Bioinformatics and Machine Learning. Leibniz-LSB@TUM’s
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Max Planck Institute for Brain Research, Frankfurt am Main | Frankfurt am Main, Hessen | Germany | about 2 hours ago
neuroscience Strong analytical and critical thinking skills A willingness to learn new techniques, including advanced experimental methods and computer programming Excellent verbal and written communication
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in, but not limited to, the following areas are especially welcome: Reinforcement Learning Virtual Reality, Augmented Reality, Digital Avatars Embodied AI Natural Language Processing Human-Computer
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neural simulators (NEST, Brian, etc.) and/or machine learning frameworks (PyTorch, Tensorflow, etc.) is a plus Experience with spiking neural networks and/or neuromorphic computing is a plus Please feel
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essential. Good programming skills in at least one programming language (e.g., Python). Experience with machine learning, LLMs, or HCI/user study methodologies will be a plus. Strong interest in acquiring and
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. The research focus of the professorship is on aspects of high dimensionality using geometric and probabilistic methods, with applications in, e.g., data science, machine learning or quantum computing. Proven