75 algorithm-development-"Multiple"-"Embry-Riddle-Aeronautical-University" Postdoctoral positions in Netherlands
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the tumor of colon cancer patients. In addition to this project, you will be involved in further developing a research line on cancer prevention within the institute 4 Preventive Health . Your duties and
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Division, Systems Department, Directorate of Technology, Engineering and Quality. The Future Engineering Division, in support of the programme directorates, is responsible for developing and providing
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of cutting-edge microfluidics with mass spectrometry (MS) for exosome purification and metabolic profiling. This project aims to develop an innovative biotechnology platform for analyzing extracellular
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is a centre of technical excellence, responsible for the development, implementation and operations of mission analysis and flight dynamics for ESA missions throughout the Solar System. ESOC is
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science
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We focus on liver cancer and related disorders that predispose to liver cancer, with the overarching goal of understanding disease mechanisms and developing innovative therapeutic strategies. As
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Your job Are you passionate about the future of sustainable food production and eager to contribute to the fast-developing field of cellular agriculture? We are seeking a mission-driven individual
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, pathologists, led by PI/Assistant Professor Dr. Lonneke IJsseldijk. This position offers a dynamic and professional work environment with opportunities for professional development, including training through
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timescales, for various climate states and ice sheet geometries. As training data, precipitation fields from the regional climate model RACMO will be used, which is a leading model in this field and developed
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work closely with the Utrecht University team and OpenGeoHub together with other project partners, to develop surrogate and hybrid modelling frameworks combining process-based models with data science