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to integrate heterogeneous molecular data, but are often less explicit about biological directionality and causal inference. This project instead builds on the structure of the central dogma, using genetic
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of biomolecules in areas such as patient care, advanced biomanufacturing, the monitoring of ecological systems, and fundamental biological research. The heart of the continuous sensors are binder molecules
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AITHYRA GmbH - Research Institute for Biomedical Artificial Intelligence of the Austrian Academy of Sciences | Vienna, Virginia | United States | about 12 hours ago
), Georg Winter (Scientific Director for Life Sciences), and Anita Ender (Managing Director) and is located at the Marxbox on the Campus of the Vienna Biocenter. https://aithyra.at/ Vienna is repeatedly
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universities develop peace education and constructive conflict resolution (CCR) skills across teaching, student life, and institutional structures. The project explores how higher education institutions foster
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that continuously probe complex nucleic acids: that’s your challenge! Information Nanoswitch sensors are nanometer-scale constructs that change their configuration upon molecular binding and enable the continuous
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patient care, advanced biomanufacturing, the monitoring of ecological systems, and fundamental biological research. The heart of the continuous sensors are binder molecules that specifically and reversibly
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institute website: https://www.fz-juelich.de/en/pgi/pgi-3 and the research group in which this position is located: https://www.fz-juelich.de/en/pgi/pgi-3/groups/multitip We work on the very latest issues
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by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you an enthusiastic lawyer and/or public administration scholar with a curious research
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» Global change Environmental science » Natural resources management Researcher Profile First Stage Researcher (R1) Application Deadline 30 Sep 2026 - 21:59 (UTC) Country Netherlands Type of Contract
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companies. The research will integrate techniques of numerical analysis and structure-preserving algorithms to generative modeling in AI. It will build upon the work done at IMF and SINTEF in this field. We