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Field
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Researcher position. The selected candidate will work on research and development for testing, analysis, and integration of AI and machine learning (ML) algorithms in new simulation and training architectures
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of bioengineering. It is furthermore collaborating in broad, interdiciplinary national and international networks within academia and the industry. The Division of Food and Nutrition Science is one
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Austrian Academy of Sciences, The Institute for Quantum Optics and Quantum Information Vienna (IQOQIVIE) | Austria | about 1 month ago
mechanics, quantum communication and quantum networks, theory–experiment interfaces, quantum aspects of gravity and spacetime physics. Develop original research ideas and contribute to the scientific profile
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. The project combines quantitative modelling of markets and the wider energy system with empirical analysis of how flexibility is created, priced, and traded by market participants. A central objective is to
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and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build
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an understanding of the ecological and evolutionary basis of adaptation and stress responses; demonstrated expertise in genomic data analysis and strong quantitative/bioinformatic skills, including relevant
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techniques such as zebrafish microbiota manipulation, molecular biology including (meta)genomics and metabolomics, bioinformatic analysis, behaviour, immunofluorescence, optogenetics and microscopy. Experience
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discussed with the successful candidate depending on their background, expertise and affinities Analysis and publication of results Build a strong network in the field of research Participate in education
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optimize hardware neural networks made of approximately one hundred magnetic tunnel junctions, with radio-frequency inputs, in order to classify RF signals directly in the physical domain. Chains of magnetic
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Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable