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), with two cross-cutting Themes (Basic and Clinical). The School is led by Professor Mauro Giacca and comprises over 65 clinical and non-clinical academic groups, hosting 400 personnel and 110 PhD students
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to teach basic courses in AI (in particular machine learning) for non‐technical audiences, and advanced courses for expert and professional audiences, in particular on generative AI methods, while developing
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the ERA Chair and other institutional teams. Attract competitive research funding nationally and internationally. Mentor postdocs, PhD students, and other junior researchers. Contribute to the development
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at the new Spartners facility operated by Servier and BioLabs, in the following field: New AI-Empowered Platform for Sterically Guided Design of Bispecific Antibodies If you hold a PhD or master’s degree with
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, application of machine learning methods to climate science. Climate models of varying complexities and their possible mitigation strategies. Emergence of extreme events in weather and climate. Research
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adjuvants), Computer Science and Technology (Artificial intelligence, biological computing, etc.) The Tenure Track System Education: A PhD or MD degree from a prestigious, accredited institution in a Health
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methods, including the development of organocatalytic asymmetric transformations and the development of small organic molecule catalysts used for asymmetric transformations 2. Development of protein
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leading researchers from around the world, with Kyoto being a major hub for international scientific meetings. Eligibility. - A PhD or MD-PhD in any STEM discipline (candidates with undergraduate and
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world to join us as either graduate students (MS/PhD) or postdoctoral researchers. Who we are looking for: Graduate Students (MS/PhD): Highly motivated individuals with backgrounds in Optics and Applied Physics
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students finishing their MSc or PhD in the field of quantum optics, or young researchers finishing their first post-doc position, to apply for a PhD or Post-Doctoral position in our group in the field