Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Field
-
, interdisciplinary team that combines science, sustainability, and technology to create a better future. Help shape the next generation of sustainable materials inspired by nature’s most powerful resource: water
-
About the Project The future power grid will be a highly complex cyber-physical system, integrating multiple distributed energy resources (DERs) such as solar, wind, marine, and bioenergy alongside
-
combining micro/nanopatterned surfaces with immobilised enzymes that degrade biofilms and disrupt microbial communication, the project aims to overcome the limitations of each individual strategy and deliver
-
-matter interactions, via theory and simulations, to measure quantum dynamics in atoms and molecules. The project aims to explore new ideas for how quantum tomography, combining multiple measurements and
-
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Are you interested in the combination of AI and data systems to impact
-
Growing evidence suggests that hydroclimatic compound events - where multiple hazards occur simultaneously or sequentially - are becoming more frequent and severe in some regions of the UK (Visser
-
PhD Studentship - EASTBIO - Functional Genomics of Host Determinants in Viral Entry and Transmission
recent work combines CRISPR screen ranking with pan-mammalian positive selection analysis to pinpoint antiviral and proviral genes. Using this framework, we have already identified genes that affect
-
applicable. Besides the salary and a vibrant and challenging environment at Science Park we offer you multiple fringe benefits: 232 holiday hours per year (based on fulltime) and extra holidays between
-
Are you interested in the combination of AI and data systems to impact healthcare decisions? If the answer is yes, please continue reading! Join our team! As part of the UNIFIED project we
-
patterns across multiple annotation types. The core aim is to generate new scientific insight by associating LCRs with their functions through a combination of expert curation and modern machine learning