49 parallel-and-distributed-computing research jobs at University of Cambridge in United Kingdom
Sort by
Refine Your Search
-
excited by the opportunity to grow alongside a developing research programme. Our laboratory is based in the Cambridge city centre, and we work in several lab spaces shared with other groups within
-
, and the results interrogated using the Perseus program. The third system is a Waters TQ-XS triple quadrupole with an M Class LC system. The instrument has a normal source interface, an IonKey source and
-
Strategic Center of Research (SCOR) at the Department of Haematology. The SCOR is led by Professor George Vassiliou and is conducting research to develop a clinical programme for myeloid cancer prevention
-
local contexts. The successful candidate will be encouraged to contribute to all components of the group's programme but will be expected to i) map the range of primary and community health services
-
Partnership in collaboration with Hitachi Europe Ltd, developing engineered proteins for carbon upcycling and sustainability. The role holder will collaborate with computational and biological scientists
-
world headquarters of AstraZeneca. Our focus is to deliver new analytical and computational strategies based on sound statistical principles for the challenging tasks facing biomedicine and public health. The Unit is
-
of Computer Science at the University of Cambridge. The research group focuses on the computational tooling and mathematical foundations of higher category theory, and its applications in computer science, mathematics
-
developing theoretical and computational methods to investigate biological systems. Preference will be given to candidates with experience in modeling the genetic basis of phenotypic variability. The candidate
-
international universities. Key components of the programme include: ¿ With collaboration partners, oversee / perform small scale screening experiments to identify candidate molecules in clearly defined
-
programme. Already be familiar with or have the capacity to become quickly familiar with standard research techniques detailed ('Relevant Experience' below). Analyse and interpret research results including