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(ICS). A scientific environment of excellence, highly dynamic, where high-end biomedical projects are continuously developed. Continuous learning and a wide range of responsibilities within a stimulating
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, including work with experimental in vitro and in vivo models (e.g., cell or animal models), as well as molecular biology techniques, is also considered an advantage. The ability and interest to work in
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secondments Salary Gross amount (per month) Living Allowance EUR 5470 Mobility Allowance EUR 710 Family Allowance EUR 660 GreenFieldData Project at glance : “IoRT Data management and analysis for Sustainable
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-scale compound drivers. We will leverage machine learning methods to bridge the gap between drivers at coarse model resolutions and impacts captured by high-resolution observations. Job description Arctic
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-disciplines; to promote and inspire discovery and learning that enhances patient care; and to contribute to the translation of scientific progress into clinical practice. The Department of Physiology consists
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Research as a Researcher — your employment with Ericsson continues without interruption. What you will do: Ericsson Research develops and evaluates new concepts and standards for future mobile communications
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Leibniz-Institute for Food Systems Biology at the Technical University of Munich | Freising, Bayern | Germany | 3 months ago
new insights into food-effector systems, sophisticated and tailored computational methods are needed. This project aims at combining probabilistic machine learning methods with prior knowledge in
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on AI-supported decision-making that contribute to the empowerment and democratic participation of citizens. The project addresses real-world challenges across domains such as healthcare, mobility
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proteolysis-targeting chimeras (PROTACs). We will benchmark their performance and determine specificity using established reporter cells, engineered primary murine AML cells and a panel of human AML cell lines
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– from the modeling of material behavior to the development of the material to the finished component. PhD position on physics-based machine learning modeling for materials and process design Reference