152 high-performance-quantum-computing-"https:"-"https:"-"https:" Postdoctoral positions in Germany
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, with our focus on healthcare, research, and teaching, we bear a unique responsibility. To meet our high standards every day, we are looking forward to your scientific expertise in the Kerl Lab
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-Phenomenology (hep-ph) , High Energy Physics , High Energy Theory , Machine Learning , Neutrino physics , Particle , Particle Physics , Particle Theory , QCD , Theoretical high energy physics , Theoretical High
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analytical models Physics-informed machine learning for deformation modeling and prediction Integration of perception, planning, and control for robust real-time robotic performance Requirements Ph.D. in
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Max Planck Institute for Biological Cybernetics, Tübingen | Bingen am Rhein, Rheinland Pfalz | Germany | about 2 months ago
researchers with different backgrounds to collaborate and develop their skills to bridge molecular, cellular and organismal levels. Relevant work experience comprises planning and performing preclinical fMRI
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citizens and since 2008 once again proud of its foundation status, Goethe University possesses a high degree of autonomy, modernity and professional diversity. As a comprehensive university, the Goethe
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The Leibniz Institute DSMZ-German Collection Microorganisms and Cell Cultures GmbH, Braunschweig, Germany offers the position of a Postdoctoral Researcher (m/f/d) (Microbial Ecology and Microbiome
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communication theory, as well as in quantum coding theory ▪ Interest in theoretical work with high practical relevance ▪ Interest in demonstrating research results on a hardware platform ▪ Software: Experience
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host chromatin pathways (DFG Research Unit DEEP-DV, FOR5200). The group uses experimental infection systems, an array of high-throughput sequencing methods (e.g., scRNA-seq, ChIP-seq, CUT&Tag, ATAC-Seq
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for image-based modelling Your profile PhD in physics, materials science, computer science, applied mathematics or a related field strong background in image processing and analysis, including deep learning
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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