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text analysis and network analysis to examine processes of recognition, inclusion and justice in educational contexts. Z03 establishes a methodological infrastructure that integrates algorithmic
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the wild? You are excited about deploying autonomy algorithms on real platforms and validating them in demanding real-world environments? We are looking for an outstanding and highly motivated doctoral
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Solid knowledge of molecular biological methods Experience in executing large-scale evolution experiments Sound knowledge of ecological and evolutionary theories and concepts Practical experience in
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with antenna array signal processing techniques Sound understanding of optimization methods and algorithms Proficiency in Python programming Proven publication record in top-tier international journals
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) within the project “Alternative Splicing and the Evolution of Holometaboly”, which is part of the DFG Priority Programme “Genomic Basis of Evolutionary Innovations (GEvol)”. Tasks: Design, training and
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the 01.02.2026 at the following conditions (PhD position): 50% = 19,92 hours Pay grade 13 TV-L limited 30.11.2028 Your tasks: Develop AI algorithms for real-time fault detection, fault classification
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) • Contributing to analyses of agency, responsibility, trust, mental privacy, and algorithmic bias in neuroAI systems • Collaborating with technical partners on issues of transparency, interpretability, and
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biochemists developing the labeling agents, data analysts developing analysis algorithms and physicists developing hardware. The candidate The candidate should have a firm base in in vivo imaging and cell
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areas: + Quantum computing and quantum algorithms + Solid-state physics, computational materials science, or quantum chemistry + Battery materials modeling Excellent programming skills (e.g., Python) and
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-funded AI research group “Fusing Deep Learning and Statistics towards Understanding Structured Biomedical Data (DeSBi)” development of deep neural networks and machine learning algorithms for the analysis