70 distributed-algorithm-"Prof" positions at University of Cambridge in United Kingdom
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
, artificial neural networks and bio-inspired robotics: "Rhythmic-reactive regulation for robotic locomotion" (Supervisor: Prof Fulvio Forni) will apply techniques from nonlinear control and optimisation
-
understanding of distributed systems or federated learning. Strong communication and interpersonal skills. Knowledge of privacy-preserving ML techniques. Exposure to large-scale system designs or cloud/edge ML
-
Health and co-Director of GHI, Prof. Ravi Gupta, to deliver Cambridge's contribution to the GHI. Providing project management and strategic support you will assist in ensuring that project deliverables
-
Fixed-term: The funds for this post are available for 22 months in the first instance. Applications are invited for a post-doctoral research associate to work in the group of Prof. Hugo Bronstein
-
A PhD studentship is available to work on Logistics automation. The student associate will work in the Intelligent Logistics Group within the Distributed Information and Automation Laboratory (DIAL
-
the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
-
license to practice. The postholder will report to Prof Mark Gurnell, Sub-Dean for Assessment. For further information, interested candidates should contact Prof Gurnell, on mg299@cam.ac.uk . Fixed-term
-
to the position or the application process, please contact Prof Sir David Klenerman on (email: ejg49@cam.ac.uk ). Please quote reference MA46759 on your application and in any correspondence about this vacancy
-
pivotal role in analysing large-scale genomic and clinical data, applying cutting-edge algorithms, and collaborating with renowned experts in the field. At PBCI, we believe in fostering a collaborative and
-
limited supervision/instruction to classes taught by Prof Lengyel. Liaise with colleagues and students on routine matters. Make internal and external contacts to develop knowledge and understanding and form