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asynchronous AI-led chemical optimisation across chemistry laboratories¿. This role sits at the intersection of robotics, machine learning, and chemistry, aiming to develop robotic systems that work
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | 13 days ago
to reconstruct open rose flowers in 3D. The key idea is to learn two neural networks that operate on different scales. The first network operates on the scale of the full flower to identify the flower architecture
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applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include: Development and application of AI and machine
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. The appointees will participate in a multidisciplinary collaborative research project related to development of deep learning model for diagnosis and prognosis of different sarcomas. He/she will develop and train
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successful medical research and have the largest range of medical education in Sweden. At KI you will meet researchers with different research areas working together. It is this cross-border collaboration
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a vibrant community dedicated to making a difference. Our collaborative environment not only supports innovative research but also ensures that our discoveries lead to tangible benefits for society
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, learning, and research, and to developing leaders in many disciplines who make a difference globally. The University, which is based in Cambridge and Boston, Massachusetts, has an enrollment of over 20,000
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, interdisciplinary team based in New York, spanning NYU and the Flatiron Institute, composed of machine learning researchers, engineers, and domain scientists. This collaborative environment offers a unique
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QGG - Aarhus University seeks a postdoc researcher in sustainable breeding: developing simulation...
planning in species such as dairy cattle, pigs, aquaculture and insects to be used for research and in projects in collaboration with the breeding industry. The candidate selected for this position will join
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project has a strong focus on developing and applying machine learning and computational methods for protein design, in close integration with experimental enzymology and biocatalysis. The tasks include