Project description
Paving the way for machine learning in chemistry
To advance medicinal chemistry, the next generation of scientists need to possess excellent knowledge of chemistry and advanced technologies such as artificial intelligence (AI) and machine learning. The EU-funded AIDD project will work to innovate drug research by preparing a new generation of scientists who have skills in machine learning. This is an essential asset in the development of the chemical industry, including pharmaceutical, agri-biotech and other chemical companies. Fellows employed will be supervised by academics who have excellent complementary expertise, in addition to having contributed some of the fundamental AI algorithms used billions of times per day in the world, and leading EU pharma companies who are in charge of new medicine and public health.
Fields of science
- medical and health sciencesbasic medicinepharmacology and pharmacydrug discovery
- natural sciencescomputer and information sciencessoftware
- medical and health scienceshealth sciencespublic health
- medical and health sciencesbasic medicinemedicinal chemistry
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
Programme(s)
Coordinator
85764 Neuherberg
Germany
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Participants (15)
151 85 Sodertaelje
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51373 Leverkusen
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2340 Beerse
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02094 Kyiv
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The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
02150 Espoo
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14195 Berlin
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3000 Leuven
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4040 Linz
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6928 Manno
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Participation ended
44227 Dortmund
2311 EZ Leiden
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4365 Esch-sur-alzette
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1010 Wien
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08002 Barcelona
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55122 Mainz
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