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Cancer Grand Challenges is a global research funding initiative founded by Cancer Research UK and the US National Cancer Institute. The REWIRE‑CAN programme has been awarded £20m to address
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position is the development of novel machine learning methods for modeling molecular properties, in particular regression models for bi-molecular properties. The research is embedded in the thematic context
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Healthier Communities. Healthiest Lives. Together. JOB DESCRIPTION: Responsible for accurate, correct routine and stat tissue processing including embedment, microtomy, mounting, and staining
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Description A Collaborative Research Center (CRC) focused on the kidney (Transregio-SFB 374) is located at the University of Regensburg, with the Chair of Molecular and Cellular Anatomy
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through the integration of the Christian faith and learning. Pay Range Qualifications A terminal degree in the field, or closely related discipline, is preferred. Candidates working toward a terminal degree
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Park, Harrogate, HG2 8PB. Do you hold a PhD or Master’s degree in Electronic and Electrical Engineering, Embedded Systems Engineering, Mechatronics, or a related discipline? Do you have a strong
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maintaining instructional and research-related equipment-ranging from electronic circuits, sensors, and RF systems to robotic and drone infrastructure, embedded platforms, and audio-visual technology. The
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Employment level: Full-time (40 hours/week) Karl Landsteiner University is embedded in a highly successful teaching and research environment at the Krems Campus as well as within the University Hospital
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International collaboration The PhD is embedded in a close collaboration between Prof. Dr. Natalia Tschowri (Leibniz Universität Hannover) and Prof. Dr. Daniel Rozen (University Leiden), including research stays
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embedment, microtomy, mounting and staining. Performs routine and special histology including advanced immunocytochemical and histochemical testing. Recognizes procedural, instrument and quality control