62 programming-"the"-"DAAD"-"IMPRS-ML"-"U"-"UCL"-"FEMTO-ST" positions at Imperial College London
Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Program
-
Field
-
: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data processing will be an advantage. The opportunity to continue
-
expertise in at least a few from the following areas: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data
-
applications in the following broad areas: Programming Languages, including language design and implementation, program analysis and verification, compilers and runtime systems, type systems, domain-specific
-
System Transformation (G-PST) initiative and its Research Agenda . • Plan research and direct the work of small research teams. • Assist in the supervision of undergraduate and postgraduate research
-
Comms plan Support key events throughout the year, including Welcome Week and Elections, when necessary Proactively work to ensure the Union’s commitment to diversity and inclusion is expressed in all
-
to coordinate, plan and support digital tools and databases, improving the ways in which we collect, process, integrate and report on information. This will include documenting all integration processes, and
-
the ability to write clearly and succinctly for publication Ability to plan and conduct research independently Ability and willingness to supervise more junior researchers The following are desirable
-
components, devices, and programming techniques relevant to teaching environments, and experience in Engineering or Design, or education to a minimum of BTEC/HNC level (or equivalent) are essential in
-
community. It is an actionable plan across all areas of our activity, a template for greater impact. A strategy this ambitious requires us to think boldly, and we are in the planning stages of a comprehensive
-
. You’ll work closely with colleagues across ICT, the Digital Campus programme, and Imperial-wide to ensure alignment on accountability for cross-divisional data and systems, rationalising and integrating