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offer a researcher position in AI-based metrology for medical imagining. The focus will be on developing traceable and reliable methods for quantitative spectral CT imaging and personalised dose
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is funded by the Hauts-de-France Region. Mission The successful candidate will conduct research in the robotics area. They will be responsible for the study, development, and experimental validation
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Raman Spectroscopy’ (ACU-SERS), the overall ambition is to develop and mature the new medico devices for therapeutic drug monitoring of patients in treatment for sepsis at the intensive care unit. In the
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research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in. Your
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education with training and courses in cybersecurity, and is seeking suitable candidates. Heilbronn is one of the locations in Germany that is currently developing most dynamically in the fields of innovation
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Qualifications: Demonstrated expertise in multi-omics bioinformatics analysis (e.g., genomics, transcriptomics, epigenomics, metagenomics) and development of scalable computational workflows for biomedical
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IT4Innovations National Supercomputing Center, VSB - Technical University of Ostrava | Czech | about 1 month ago
to staff position within a Research Infrastructure? No Offer Description We are seeking new colleagues to join our lab and develop cutting-edge AI tools for HPC systems. You will become a part of the
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University of Massachusetts Medical School | Worcester, Massachusetts | United States | about 2 months ago
School (UMass Chan) develops and applies cutting-edge computational and big-data approaches to understand the genomics, epigenomics, and regulatory functions of noncoding RNAs in human disease. We develop
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Assistant Professor to carry out duties related to the simulation infrastructure of the ATLAS experiment at CERN in Geneva, Switzerland. These include development and coordination at the international level
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access for all to a low-carbon electricity grid unlocked by Artificial Intelligence”. The project aims at developing innovative methods to allow more equitable access to electricity grid capacity for all