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biomedical engineering research. The CPAMS Research Group is looking for a dynamic and independent post-doc interested in computational modelling of cardiovascular and respiratory physiology to improve
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Your profile Candidates should have an exceptional academic record and a robust mathematical foundation. They should have published works at the main conferences in the field of machine learning, such as ICML, NeurIPS, ICLR, etc. Excellent communication skills and fluency in English (spoken and...
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The Swiss Centre for Applied Human Toxicology (SCAHT) at the University of Basel is seeking a highly motivated Scientific Coordinator to lead and advance an International STakeholder NETwork (ISTNET) initiative for Developmental and Reproductive Toxicity (DART) testing. This project aims to...
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from 150 nations, located on the border where Switzerland, Germany, and France meet. A large number of institutions for biomedical research, with numerous possibilities for training, networking, and
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models defining the molecular signatures underpinning child development up to adolescence. By combining multidimensional molecular data with integrative computational methods, the professorship's research
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on the fundamentals of magnetic resonance physics, as well as on the development of dedicated MR methods and data post-processing methods for applications in biophysical, biochemical, and clinical sciences. For further
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. Your profile The successful candidate will have a PhD and several years of post-doc experience in Anglophone Literary and Cultural Studies (habilitationsäquivalente Leistungen) as well as an excellent
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department at the University. We are in the heart of Basel at 6 different locations. Be part of our future! The research team led by Elisabeth Roider, MD, PhD, is currently seeking a highly motivated and
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https://www.biozentrum.unibas.ch/bumann tackles these challenges by analyzing patient biopsies using advanced imaging techniques and mass spectrometry. The post-docs will lead projects investigating how
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Your position Our group conducts research at the intersection of artificial intelligence (AI) and pediatric healthcare, developing AI and machine learning (ML) methods to address real-world clinical