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be found here: https://www.postgraduate.study.cam.ac.uk/courses/directory/blpapdpth More about the project: Project Title:Dissecting the body-wide spatio-temporal organisation of human resident T
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complementary knowledge and technology, LipidBRIGHT aims to speed up innovations towards improved disease prevention, diagnosis, prognosis and therapy. LipidBRIGHT will train scientists in a close cooperation
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community of staff are united by our purpose to inspire Australia’s future change-makers and create a better tomorrow. Work that matters Advance the frontier of AI by developing multi-agent systems capable
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natural sciences (http://www.gauss.uni-goettingen.de ). The Faculty of Physics offers you a wide range of physical sub-fields such as the following: astrophysics biophysics geophysics materials physics
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(including universities based in Belgium, Finland, Germany, Ireland, the Netherlands, Spain, or Türkiye) aims to train a new generation of migration scholars, policy analysts, and practitioners who
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electrical characterization. A strong interest in experimental work and willingness to develop independent lab skills are essential. Good written and oral English communication skills. Prior knowledge of micro
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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | 20 days ago
scientists developing computational simulations in various fields will be encouraged, in particular with the Gysela code, which is part of the ITER project. The project will first focus on dimensionality
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measurements. Electronic Circuits and Architectures (ELCA) Join a pioneering research team dedicated to advancing the design and development of high-performance electronic circuits and systems. You will be part
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about teaching, research, and creating collaborative, diverse, and inclusive work environments that provide opportunities for professional development. A successful Candidate will have obtained a Ph.D. in
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currently in a unique position of benefiting from the hindsight of billions of dollars spent in research and development in large-language models (LLMs). This second-mover advantage position creates