111 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Field
-
Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above. We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is...
-
, the Power Platform and Data Systems Developer will be responsible for managing and supporting the use of Power Platform and Microsoft 365 applications; seeking opportunities to improve processes and working
-
Are you experienced at developing impactful exhibitions and excited by the opportunity to deliver a purposeful permanent exhibition at the heart of a new research centre and public venue, in
-
methods to improve the deployment, adaptation capabilities and safety of robots and critical infrastructures. The developed algorithms will be evaluated on legged robots, wheel-based robots and under
-
software engineer to become part of the highly successful, multi-disciplinary team. This unique opportunity will enable you to contribute to the development of the magnetometer onboard the European Space Agency’s new
-
within Imperial’s Research Computing Service might be the next stop in your career. As an RSE you will contribute to the team’s success by developing innovative software, promoting the importance of good
-
at the interface between computational design and in vitro experiments, the team has developed multiple in silico and in vitro methods to design novel antibodies and nanobodies as therapeutic agents and research
-
, environmental biology, evolution and biodiversity. Microbial ecology, microbiome. Ecology field work. The design and running of team-based laboratory research projects for final year students. Holding a
-
algorithms. The research focuses on wind energy applications, creating a compelling sustainability narrative: developing more efficient computational methods to optimize wind farm performance, which in turn
-
of fingers, the shapes of the fingers, and the positions of tactile sensors), and the control policy for that hand, when given a particular task or set of tasks. Through this, we aim to develop a framework