Blockchain forensics tools have recovered an estimated $34 billion and are used by 45+ regulators as detection has genuinely improved. Yet 2025 crypto scam losses hit roughly $17 billion, with ...
Post-doc Computer-Aided Drug Design. The successful candidate will develop and apply Computer-Aided Drug Design (CADD) methodologies to advance drug discovery projects.
A new development in data science has given one popular machine learning tool an improved sense of place, enabling it to make ...
Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...
Otaniemi Center for Atomic-scale Materials Modeling (OCAMM), hosted by the Department of Chemistry and Materials Science (CMAT). The positions to be filled are part of a new project funded by Business ...
Explore predictive modeling for compound prioritization, including in silico screening, toxicology models, and lead selection ...
Read this latest guest blog by Dr AustÄ— KanapeckaitÄ—, Dr Shazia C. Hyatt, Prof David Wagg and Prof Andrea Townsend-Nicholson ...
Post-doc Computer-Aided Drug Design. The successful candidate will develop and apply Computer-Aided Drug Design (CADD) methodologies to advance drug discovery projects. Their work ...
Abstract: In recent years, researchers in the fields of bioinformatics and cheminformatics have attempted to utilize machine learning methods for molecule modeling, bioactivity prediction, chemical ...
P2Rank is a stand-alone command-line program for fast and accurate prediction of ligand-binding sites from protein structures. It achieves high prediction success rates without relying on external ...
Computational toxicology plays an important role in chemical safety assessments. Computational methods are applied to early-stage screening in drug discovery, hazard identification, and regulatory ...
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