Permanent Machine Learning Jobs in Worcester

2 of 2 Permanent Machine Learning Jobs in Worcester

Research Scientist (Drug discovery and machine learning)

Worcester, Worcestershire, United Kingdom
Recooty
Location : London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with … advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As … a valued member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted:

Junior Professional in AI for Climate Science

Worcester, Worcestershire, United Kingdom
EUROPEAN SPACE AGENCY
professional experience after their Master's degree to join ESA for a four-year assignment. During this time, you will be actively working and learning on the job and will benefit from valuable mobility and developmental opportunities that will prepare you for a successful career at ESA. Subject to … applications development in the terrestrial, oceanography, atmosphere or cryosphere fields in relation to climate, with a specific focus on applications of artificial intelligence and machine learning. A broad range of project opportunities exist across all domains (terrestrial, ocean, cryosphere and atmosphere), their interfaces (such as for carbon or hydrological … development of improved climate data records from satellite data, and/or improved methods of uncertainty characterisation, including the use of artificial intelligence and machine learning to improve or analyse satellite climate data records; examining the contribution of satellite datasets for assessing climate impacts, mitigation and adaptation, for More ❯
Employment Type: Permanent
Salary: GBP Annual
Posted: