62 machine-learning "https:" "https:" "https:" "https:" "U.S" positions at University of Cambridge
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
, release kinetics under biologically relevant triggers. The successful candidate will work at the interface of organic synthesis, chemical biology, and machine learning to guide linker design and optimise
-
to optimise built-environment thermodynamics and occupant comfort by creating predictive AI tools for spatiotemporal heat transfer. Machine learning algorithms will identify energy inefficiencies and propose
-
__Secure-ROLLOUT_TOKENUsed to track user’s interaction with embedded content. Maximum Storage Duration: 180 daysType: HTTP Cookie __Secure-YECStores the user's video player preferences using
-
and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
-
Department/Location: Department of Biochemistry, Central Cambridge PhD Position - Marie Curie network ON-Tract: Protein engineering of enzymes: in vitro directed evolution and machine learning-based
-
) data. We also analyse macaque electrophysiology data obtained through collaborations. We use machine learning techniques for data analysis and computational modelling with a special interest in
-
__Secure-ROLLOUT_TOKENPending Maximum Storage Duration: 180 daysType: HTTP Cookie __Secure-YECStores the user's video player preferences using embedded YouTube video Maximum Storage Duration
-
#-#Used to track user’s interaction with embedded content. Maximum Storage Duration: SessionType: HTML Local Storage __Secure-ROLLOUT_TOKENPending Maximum Storage Duration: 180 daysType: HTTP Cookie
-
details can be found at https://www.net-zero-fibe-cdt.eng.cam.ac.uk/ The project is funded in collaboration with Ramboll and Buro Happold who work across diverse projects with key clients focused
-
statement that shows evidence of engagement with this advert. Further information on the PhD in Computer Science programme can be found at: https://www.cst.cam.ac.uk/admissions/phd All applications should be