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, biologists and computer scientists at the Universities of Tübingen and Hohenheim and the Senckenberg Institution of Biodiversity and Earth System Research in Frankfurt. It investigates interactions between
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established techniques for quantum circuit representation and manipulation (e.g. diagrammatic methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit
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description: scientific services in teaching and research in the field of chemical biology use primarily of organic chemistry methods, enzyme assays and possibly molecular biological methods collaboration in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 21 days ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Promotion Job description:PhD position for advancing data science methods
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–policy interface for municipal biodiversity conservation and climate adaptation with nature-based solutions Processing and evaluation of remote sensing data, including methods of computer vision
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of mobility networks, estimation of acceptance of mobility policies preparation of publications for submission to top-tier NLP, AI, or traffic engineering venues contribution to teaching and/or local BSc. /MSc
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methods like ZX-calculus) towards description of quantum noise employ such extended methods for quantum circuit compilation, optimization and error mitigation collaborate with theoretical computer
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-line representatives (non-avian theropods) Collection and documentation of morphological, embryological, and ecological data Application and adaptation of various scientific/statistical methods (e.g
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scientists. We seek to appoint an expert in the research area of Machine Learning for Sustainable Processes and Materials with a focus on data-driven methods for modeling, analyzing, and optimizing complex
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain