65 machine-learning-"https:"-"https:"-"https:"-"The-Open-University" Postdoctoral positions in Germany
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- Technical University of Munich
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- Max Planck Institute of Molecular Cell Biology and Genetics, Dresden
- University of Oldenburg
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on the design and evaluation of innovative data- and machine learning-based systems to integrate more renewable energy into our energy systems and make energy use more efficient. We develop new optimization
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presentations at international conferences Willingness to learn and interest in interdisciplinary applied research We offer: A varied and challenging job within a top-class network from politics, science
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' to develop neural networks with remarkable information content: flies, which we use as a model, have brains that compute flying in 3D, navigation, metabolism and advanced learning and memory capabilities - all
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into neuroendocrine output to instruct adaptive physiology and behavior. Conversely, we seek to understand how internal states shape our physiological responses to the same cues. Our research is based on the premise
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verification scalable and reliable. Learn more about logical zonotopes: [paper link ] | [talk link ]. You will conduct original research on logical zonotope based methods for model checking and digital circuit
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Coordinating and instruct a practical course for BSc Biochemistry students and supervise MSc students in the lab Your qualifications: PhD in Biochemistry, Biology or Life Sciences Strong motivation and a genuine
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the faculties of medicine and computer science at TUM, as well as the Munich Center for Machine Learning (MCML). It is a great place for interdisciplinary research between medicine and data science. We
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(e.g. via machine learning) to qualitative analyses (e.g. via interviews) to support ambitious policies for climate and energy transitions. This position Green hydrogen is key to decarbonizing many hard
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of empirical research (quantitative or experimental) methods, • knowledge of statistics, programming languages (e.g., Python), natural language processing, machine learning is advantageous but not
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq